** = Publications listed in SCI/SSCI/Pubmed
** Abdulnazar, A; Schulz, S; Kreuzthaler, M
Smoking Status Normalization with Cross-Encoders and SNOMED CT.
Stud Health Technol Inform. 2025; 327:818-822
Doi: 10.3233/SHTI250473
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** Kugic, A; Schulz, S; Kreuzthaler, M
Domain Shift in Part-of-Speech Tagging.
Stud Health Technol Inform. 2025; 327: 896-897.
Doi: 10.3233/SHTI250497
PubMed
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** Schulz, S; Martínez, Costa, C
Semantic Representation of Medical Data Collection Forms Using Standards.
Stud Health Technol Inform. 2025; 327:708-712
Doi: 10.3233/SHTI250440
PubMed
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** Specht, L; Scheible, R; Boeker, M; Farin-Glattacker, E; Kampel, N; Schmölz, M; Schöpf-Lazzarino, A; Schulz, S; Schlett, C; Thomczyk, F; Voigt-Radloff, S; Wegner, C; Wollmann, K; Maun, A
Evaluating the Acceptance and Usability of an Independent, Noncommercial Search Engine for Medical Information: Cross-Sectional Questionnaire Study and User Behavior Tracking Analysis.
JMIR Hum Factors. 2025; 12:e56941
Doi: 10.2196/56941
[OPEN ACCESS]
Web of Science
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** Abdulnazar, A; Kreuzthaler, M; Schulz, S; Prietl, B; Herbsthofer, L
Tumor Board Visualization: Integrating Clinical and Laboratory Insights.
Stud Health Technol Inform. 2024; 316: 1750-1751.
Doi: 10.3233/SHTI240767
PubMed
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** Abdulnazar, A; Kugic, A; Schulz, S; Stadlbauer, V; Kreuzthaler, M
O2 supplementation disambiguation in clinical narratives to support retrospective COVID-19 studies.
BMC Med Inform Decis Mak. 2024; 24(1): 29
Doi: 10.1186/s12911-024-02425-2
[OPEN ACCESS]
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** Abdulnazar, A; Roller, R; Schulz, S; Kreuzthaler, M
Unsupervised SapBERT-based bi-encoders for medical concept annotation of clinical narratives with SNOMED CT
DIGIT HEALTH. 2024; 10: 20552076241288681
Doi: 10.1177/20552076241288681
[OPEN ACCESS]
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** Abdulnazar, A; Roller, R; Schulz, S; Kreuzthaler, M
Large Language Models for Clinical Text Cleansing Enhance Medical Concept Normalization
IEEE ACCESS. 2024; 12: 147981-147990.
Doi: 10.1109/ACCESS.2024.3472500
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** Aghaei, S; Celebi, R; Kreuzthaler, M; Schulz, S
From Clinical Information Systems to Personalized Health Knowledge Graphs.
Stud Health Technol Inform. 2024; 316: 1463-1464.
Doi: 10.3233/SHTI240689
PubMed
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** de, Zegher, I; Norak, K; Steiger, D; Müller, H; Kalra, D; Scheenstra, B; Cina, I; Shulz, S; Uma, K; Kalendralis, P; Lotmam, EM; Benedikt, M; Dumontier, M; Celebi, R
Artificial intelligence based data curation: enabling a patient-centric European health data space.
Front Med (Lausanne). 2024; 11: 1365501
Doi: 10.3389/fmed.2024.1365501
[OPEN ACCESS]
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** Kugic, A; Schulz, S; Kreuzthaler, M
Term Candidate Generation to Enrich Clinical Terminologies with Large Language Models.
Stud Health Technol Inform. 2024; 316: 695-699.
Doi: 10.3233/SHTI240509
PubMed
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** Kugic, A; Schulz, S; Kreuzthaler, M
Disambiguation of acronyms in clinical narratives with large language models.
J Am Med Inform Assoc. 2024; 31(9):2040-2046
Doi: 10.1093/jamia/ocae157
[OPEN ACCESS]
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** Riedel, A; Schulz, S; Martínez, Costa, C
'SNOMEDizing' Questionnaires for Standardizing Stroke Registry Data.
Stud Health Technol Inform. 2024; 316: 1453-1457.
Doi: 10.3233/SHTI240687
PubMed
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** Kugic, A; Martin, I; Modersohn, L; Pallaoro, P; Kreuzthaler, M; Schulz, S; Boeker, M
Processing of Short-Form Content in Clinical Narratives: Systematic Scoping Review.
J Med Internet Res. 2024; 26:e57852
Doi: 10.2196/57852
[OPEN ACCESS]
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** Kreuzthaler, M; Pfeifer, B; Schulz, S
Secondary Use of Clinical Problem List Descriptions for Bi-Encoder Based ICD-10 Classification.
AMIA Annu Symp Proc. 2024; 2024:620-627
[OPEN ACCESS]
PubMed
** Abdulnazar, A; Kreuzthaler, M; Roller, R; Schulz, S
SapBERT-Based Medical Concept Normalization Using SNOMED CT.
Stud Health Technol Inform. 2023; 302: 825-826.
Doi: 10.3233/SHTI230278
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** Kreuzthaler, M; Brochhausen, M; Zayas, C; Blobel, B; Schulz, S
Linguistic and ontological challenges of multiple domains contributing to transformed health ecosystems.
Front Med (Lausanne). 2023; 10: 1073313
Doi: 10.3389/fmed.2023.1073313
[OPEN ACCESS]
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** Kreuzthaler, M; Pfeifer, B; Kramer, D; Schulz, S
Secondary Use of Clinical Problem List Entries for Neural Network-Based Disease Code Assignment.
Stud Health Technol Inform. 2023; 302: 788-792.
Doi: 10.3233/SHTI230267
PubMed
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** Kugic, A; Kreuzthaler, M; Schulz, S
Clinical Acronym Disambiguation via ChatGPT and BING.
Stud Health Technol Inform. 2023; 309:78-82
Doi: 10.3233/SHTI230743
PubMed
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** Kugic, A; Pfeifer, B; Schulz, S; Kreuzthaler, M
Data-Driven Identification of Clinical Real-World Expressions Linked to ICD.
Stud Health Technol Inform. 2023; 302: 827-828.
Doi: 10.3233/SHTI230279
PubMed
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** Kugic, A; Pfeifer, B; Schulz, S; Kreuzthaler, M
Embedding-based terminology expansion via secondary use of large clinical real-world datasets.
J Biomed Inform. 2023; 147:104497
Doi: 10.1016/j.jbi.2023.104497
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** Lin, AY; Arabandi, S; Beale, T; Duncan, WD; Hicks, A; Hogan, WR; Jensen, M; Koppel, R; Martínez-Costa, C; Nytrø, Ø; Obeid, JS; de, Oliveira, JP; Ruttenberg, A; Seppälä, S; Smith, B; Soergel, D; Zheng, J; Schulz, S
Improving the Quality and Utility of Electronic Health Record Data through Ontologies.
Standards (Basel). 2023; 3(3): 316-340.
Doi: 10.3390/standards3030023
[OPEN ACCESS]
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** Schulz, S; Abdulnazar, A; Kreuzthaler, M
Clustering Similar Diagnosis Terms.
Stud Health Technol Inform. 2023; 302: 837-838.
Doi: 10.3233/SHTI230284
PubMed
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** Schulz, S; Case, JT; Hendler, P; Karlsson, D; Lawley, M; Cornet, R; Hausam, R; Solbrig, H; Nashar, K; Martínez-Costa, C; Gao, YS
SNOMED CT and Basic Formal Ontology - convergence or contradiction between standards? The case of "clinical finding"
APPL ONTOL. 2023; 18(3): 207-237.
Doi: 10.3233/AO-230018
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** Khaled, M; Sareban, M; Kreuzthaler, M; Schulz, S; Hussein, R
Overview of Existing Tools for Extracting Health and Fitness Data from mHealth Apps.
Stud Health Technol Inform. 2022; 295: 49-50.
Doi: 10.3233/SHTI220657
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** Kuiper, M; Bonello, J; Fernández-Breis, JT; Bucher, P; Futschik, ME; Gaudet, P; Kulakovskiy, IV; Licata, L; Logie, C; Lovering, RC; Makeev, VJ; Orchard, S; Panni, S; Perfetto, L; Sant, D; Schulz, S; Vercruysse, S; Zerbino, DR; Lægreid, A, , GRECO, Consortium
The gene regulation knowledge commons: the action area of GREEKC.
Biochim Biophys Acta Gene Regul Mech. 2022; 1865(1):194768
Doi: 10.1016/j.bbagrm.2021.194768
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** Modersohn, L; Schulz, S; Lohr, C; Hahn, U
GRASCCO - The First Publicly Shareable, Multiply-Alienated German Clinical Text Corpus.
Stud Health Technol Inform. 2022; 296: 66-72.
Doi: 10.3233/SHTI220805
PubMed
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** Schulz, S; Boeker, M; Prunotto, A
Validation of Multiple Path Translation for SNOMED CT Localisation.
Stud Health Technol Inform. 2022; 294: 961-962.
Doi: 10.3233/SHTI220641
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** Scheible, R; Caliskan, D; Fischer, P; Thomczyk, F; Zabka, S; Schneider, H; Boeker, M; Schulz, S; Prokosch, HU; Gulden, C
AHD2FHIR: A Tool for Mapping of Natural Language Annotations to Fast Healthcare Interoperability Resources - A Technical Case Report.
Stud Health Technol Inform. 2022; 290: 32-36.
Doi: 10.3233/SHTI220026
(- Case Report)
PubMed
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** Caliskan, D; Zierk, J; Kraska, D; Schulz, S; Daumke, P; Prokosch, HU; Kapsner, LA
First Steps to Evaluate an NLP Tool's Medication Extraction Accuracy from Discharge Letters.
Stud Health Technol Inform. 2021; 278: 224-230.
Doi: 10.3233/SHTI210073
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** Grundel, B; Bernardeau, MA; Langner, H; Schmidt, C; Böhringer, D; Ritter, M; Rosenthal, P; Grandjean, A; Schulz, S; Daumke, P; Stahl, A
[Extraction of features from clinical routine data using text mining].
Ophthalmologe. 2021; 118(3):264-272
Doi: 10.1007/s00347-020-01177-4
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** Jauk, S; Kramer, D; Avian, A; Berghold, A; Leodolter, W; Schulz, S
Technology Acceptance of a Machine Learning Algorithm Predicting Delirium in a Clinical Setting: a Mixed-Methods Study.
J MED SYST. 2021; 45(4): 48-48.
Doi: 10.1007/s10916-021-01727-6
[OPEN ACCESS]
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** Juanes, Cortés, B; Vera-Ramos, JA; Lovering, RC; Gaudet, P; Laegreid, A; Logie, C; Schulz, S; Roldán-García, MDM; Kuiper, M; Fernández-Breis, JT
Formalization of gene regulation knowledge using ontologies and gene ontology causal activity models.
Biochim Biophys Acta Gene Regul Mech. 2021; 1864(11-12): 194766
Doi: 10.1016/j.bbagrm.2021.194766
[OPEN ACCESS]
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** López-Úbeda, P; Pomares-Quimbaya, A; Díaz-Galiano, MC; Schulz, S
Collecting specialty-related medical terms: Development and evaluation of a resource for Spanish.
BMC Med Inform Decis Mak. 2021; 21(1):145
Doi: 10.1186/s12911-021-01495-w
[OPEN ACCESS]
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** Pomares-Quimbaya, A; López-Úbeda, P; Schulz, S
Transfer Learning for Classifying Spanish and English Text by Clinical Specialties.
Stud Health Technol Inform. 2021; 281: 377-381.
Doi: 10.3233/SHTI210184
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** Prunotto, A; Schulz, S; Boeker, M
Automatic Generation of German Translation Candidates for SNOMED CT Textual Descriptions.
Stud Health Technol Inform. 2021; 281: 178-182.
Doi: 10.3233/SHTI210144
PubMed
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** Sant, DW; Sinclair, M; Mungall, CJ; Schulz, S; Zerbino, D; Lovering, RC; Logie, C; Eilbeck, K
Sequence Ontology terminology for gene regulation.
Biochim Biophys Acta Gene Regul Mech. 2021; 1864(10):194745
Doi: 10.1016/j.bbagrm.2021.194745
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** Jauk, S; Kramer, D; Avian, A; Berghold, A; Leodolter, W; Schulz, S
Correction to: Technology Acceptance of a Machine Learning Algorithm Predicting Delirium in a Clinical Setting: a Mixed-Methods Study.
J MED SYST. 2021; 45(4): 52-52.
Doi: 10.1007/s10916-021-01728-5
[OPEN ACCESS]
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** Jauk, S; Kramer, D; Großauer, B; Rienmüller, S; Avian, A; Berghold, A; Leodolter, W; Schulz, S
Risk prediction of delirium in hospitalized patients using machine learning: An implementation and prospective evaluation study.
J Am Med Inform Assoc. 2020; 27(9): 1383-1392.
Doi: 10.1093/jamia/ocaa113
[OPEN ACCESS]
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** Kreuzthaler, M; Oleynik, M; Schulz, S
Character-Level Neural Language Modelling in the Clinical Domain.
Stud Health Technol Inform. 2020; 270:83-87
Doi: 10.3233/SHTI200127
PubMed
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** Lim, MS; Beyer, T; Babayan, A; Bergmann, M; Brehme, M; Buyx, A; Czernin, J; Egger, G; Elenitoba-Johnson, KSJ; Gückel, B; Jačan, A; Haslacher, H; Hicks, RJ; Kenner, L; Langanke, M; Mitterhauser, M; Pichler, BJ; Salih, HR; Schibli, R; Schulz, S; Simecek, J; Simon, J; Soares, MO; Stelzl, U; Wadsak, W; Zatloukal, K; Zeitlinger, M; Hacker, M
Advancing Biomarker Development Through Convergent Engagement: Summary Report of the 2nd International Danube Symposium on Biomarker Development, Molecular Imaging and Applied Diagnostics; March 14-16, 2018; Vienna, Austria.
Mol Imaging Biol. 2020; 22(1):47-65
Doi: 10.1007/s11307-019-01361-2
[OPEN ACCESS]
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** Pomares-Quimbaya, A; López-Úbeda, P; Oleynik, M; Schulz, S
Leveraging PubMed to Create a Specialty-Based Sense Inventory for Spanish Acronym Resolution.
Stud Health Technol Inform. 2020; 270:292-296
Doi: 10.3233/SHTI200169
PubMed
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** Uribe, GA; Blobel, B; Lopez, DM; Schulz, S; Ruiz, AA
Ontology-Based and Architecture-Based Method for the Development of Interoperable Care Systems for Type 2 Diabetes Mellitus.
Stud Health Technol Inform. 2020; 270:352-356
Doi: 10.3233/SHTI200181
[OPEN ACCESS]
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** Zabka, S; Schulz, S; Brunner, O; Boeker, M
How versioning of terminology systems can be supported by ontological models - a case study on TNM tumor classification.
APPL ONTOL. 2020; 15(1): 41-60.
Doi: 10.3233/AO-190220
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** Daumke, P; Heitmann, KU; Heckmann, S; Martínez-Costa, C; Schulz, S
Clinical Text Mining on FHIR.
Stud Health Technol Inform. 2019; 264:83-87
Doi: 10.3233/SHTI190188
PubMed
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** Hashemian Nik, D; Kasáč, Z; Goda, Z; Semlitsch, A; Schulz, S
Building an Experimental German User Interface Terminology Linked to SNOMED CT.
Stud Health Technol Inform. 2019; 264:153-157
Doi: 10.3233/SHTI190202
PubMed
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** Jauk, S; Kramer, D; Stark, G; Hasiba, K; Leodolter, W; Schulz, S; Kainz, J
Development of a Machine Learning Model Predicting an ICU Admission for Patients with Elective Surgery and Its Prospective Validation in Clinical Practice.
Stud Health Technol Inform. 2019; 264:173-177
Doi: 10.3233/SHTI190206
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** Kreuzthaler, M; Pfeifer, B; Vera Ramos, JA; Kramer, D; Grogger, V; Bredenfeldt, S; Pedevilla, M; Krisper, P; Schulz, S
EHR problem list clustering for improved topic-space navigation.
BMC Med Inform Decis Mak. 2019; 19(Suppl 3):72-72
Doi: 10.1186/s12911-019-0789-9
[OPEN ACCESS]
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** Miñarro-Giménez, JA; Cornet, R; Jaulent, MC; Dewenter, H; Thun, S; Gøeg, KR; Karlsson, D; Schulz, S
Quantitative analysis of manual annotation of clinical text samples.
Int J Med Inform. 2019; 123:37-48
Doi: 10.1016/j.ijmedinf.2018.12.011
[OPEN ACCESS]
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** Pomares-Quimbaya, A; Kreuzthaler, M; Schulz, S
Current approaches to identify sections within clinical narratives from electronic health records: a systematic review.
BMC Med Res Methodol. 2019; 19(1):155-155
Doi: 10.1186/s12874-019-0792-y
[OPEN ACCESS]
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** Some, BMJ; Bordea, G; Thiessard, F; Schulz, S; Diallo, G
Design Considerations for a Knowledge Graph: The WATRIMed Use Case.
Stud Health Technol Inform. 2019; 259: 59-64.
PubMed
** Vera Ramos, JA; Kreuzthaler, M; Schulz, S
Supervised ICD Code Assignment to Short Clinical Problem List Entries.
Stud Health Technol Inform. 2019; 258(Suppl 3):184-188
PubMed
** Rector, A; Schulz, S; Rodrigues, JM; Chute, CG; Solbrig, H
On beyond Gruber: "Ontologies" in today's biomedical information systems and the limits of OWL.
J Biomed Inform. 2019; 100S: 100002
Doi: 10.1016/j.yjbinx.2019.100002
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** Bietenbeck, A; Boeker, M; Schulz, S;
NPU, LOINC, and SNOMED CT: a comparison of terminologies for laboratory results reveals individual advantages and a lack of possibilities to encode interpretive comments.
J LAB MED. 2018; 42(6): 267-275.
Doi: 10.1515/labmed-2018-0103
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** Jauk, S; Kramer, D; Schulz, S; Leodolter, W
Evaluating the Impact of Incorrect Diabetes Coding on the Performance of Multivariable Prediction Models.
Stud Health Technol Inform. 2018; 251: 249-252.
PubMed
** Kreuzthaler, M; Pfeifer, B; Vera Ramos, JA; Kramer, D; Grogger, V; Bredenfeldt, S; Pedevilla, M; Krisper, P; Schulz, S
EHR Text Categorization for Enhanced Patient-Based Document Navigation.
Stud Health Technol Inform. 2018; 248: 100-107.
PubMed
** Miñarro-Giménez, JA; Martínez-Costa, C; Karlsson, D; Schulz, S; Gøeg, KR
Qualitative analysis of manual annotations of clinical text with SNOMED CT.
PLoS One. 2018; 13(12):e0209547-e0209547
Doi: 10.1371/journal.pone.0209547
[OPEN ACCESS]
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** Miñarro-Giménez, JA; Schulz, S
Analysis of MeSH Indexing Patterns and Frequency of Predicates.
Stud Health Technol Inform. 2018; 247:666-670
PubMed
** Rodrigues, JM; Schulz, S; Mizen, B; Trombert, B; Rector, A
Scrutinizing SNOMED CT's Ability to Reconcile Clinical Language Ambiguities with an Ontology Representation.
Stud Health Technol Inform. 2018; 247: 910-914.
PubMed
** Kasáč, Z; Schulz, S
Analysis of Historical Medical Phenomena Using Large N-Gram Corpora.
Stud Health Technol Inform. 2017; 245:437-441
PubMed
** Kreuzthaler, M; Martínez-Costa, C; Kaiser, P; Schulz, S
Semantic Technologies for Re-Use of Clinical Routine Data.
Stud Health Technol Inform. 2017; 236(18):24-31
PubMed
** Martinez-Costa, C; Schulz, S
HL7 FHIR: Ontological Reinterpretation of Medication Resources.
Stud Health Technol Inform. 2017; 235(23):451-455
PubMed
** Martínez-Costa, C; Schulz, S
Validating EHR clinical models using ontology patterns.
J Biomed Inform. 2017; 76(20):124-137
Doi: 10.1016/j.jbi.2017.11.001
[OPEN ACCESS]
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** Miñarro-Giménez, JA; Martínez-Costa, C; López-García, P; Schulz, S
Building SNOMED CT Post-Coordinated Expressions from Annotation Groups.
Stud Health Technol Inform. 2017; 235(12):446-450
PubMed
** Oleynik, M; Kreuzthaler, M; Schulz, S
Unsupervised Abbreviation Expansion in Clinical Narratives.
Stud Health Technol Inform. 2017; 245(11):539-543
PubMed
** Rodrigues, JM; Schulz, S; Mizen, B; Rector, A; Serir, S
Is the Application of SNOMED CT Concept Model sufficiently Quality Assured?
AMIA Annu Symp Proc. 2017; 2017: 1488-1497.
[OPEN ACCESS]
PubMed
** Santana da Silva, F; Jansen, L; Freitas, F; Schulz, S
Ontological interpretation of biomedical database content.
J Biomed Semantics. 2017; 8(1):24-24
Doi: 10.1186/s13326-017-0127-z
[OPEN ACCESS]
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** Schulz, S; Boeker, M; Martinez-Costa, C
The BioTop Family of Upper Level Ontological Resources for Biomedicine.
Stud Health Technol Inform. 2017; 235:441-445
PubMed
** Schulz, S; Rodrigues, JM; Rector, A; Chute, CG
Interface Terminologies, Reference Terminologies and Aggregation Terminologies: A Strategy for Better Integration.
Stud Health Technol Inform. 2017; 245(12):940-944
PubMed
** Boeker, M; França, F; Bronsert, P; Schulz, S
TNM-O: ontology support for staging of malignant tumours.
J Biomed Semantics. 2016; 7(1):64-64
Doi: 10.1186/s13326-016-0106-9
[OPEN ACCESS]
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** Fernandez-Luque, L; Vilmarlund, V; Borycki, E; Schulz, S; Kuziemsky, C; Marschollek, M; Kulikowski, CA
Social Media as Catalyzer for Connected Health: Hype or Hope? Perspectives from IMIA Working Groups.
Stud Health Technol Inform. 2016; 225(7):602-604
PubMed
** Kreuzthaler, M; Miñarro-Giménez, JA; Schulz, S
MapReduce in the Cloud: A Use Case Study for Efficient Co-Occurrence Processing of MEDLINE Annotations with MeSH.
Stud Health Technol Inform. 2016; 228(12):582-586
PubMed
** López-García, P; Kreuzthaler, M; Schulz, S; Scherr, D; Daumke, P; Markó, K; Kors, JA; van Mulligen, EM; Wang, X; Gonna, H; Behr, E; Honrado, Á
SEMCARE: Multilingual Semantic Search in Semi-Structured Clinical Data.
Stud Health Technol Inform. 2016; 223(3):93-99
[OPEN ACCESS]
PubMed
** López-García, P; Schulz, S
Structural Patterns under X-Rays: Is SNOMED CT Growing Straight?
PLoS One. 2016; 11(11):e0165619-e0165619
Doi: 10.1371/journal.pone.0165619
[OPEN ACCESS]
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** López-García, P; Schulz, S
Can SNOMED CT be squeezed without losing its shape?
J Biomed Semantics. 2016; 7(1):56-56
Doi: 10.1186/s13326-016-0101-1
[OPEN ACCESS]
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** Mamou, M; Rector, A; Schulz, S; Campbell, J; Solbrig, H; Rodrigues, JM
ICD-11 (JLMMS) and SCT Inter-Operation.
Stud Health Technol Inform. 2016; 223(1):267-272
PubMed
** Mamou, M; Rector, A; Schulz, S; Campbell, J; Solbrig, H; Rodrigues, JM
Representing ICD-11 JLMMS Using IHTSDO Representation Formalisms.
Stud Health Technol Inform. 2016; 228:431-435
PubMed
** Miñarro-Giménez, JA; Martínez, MQ; Fernández-Breis, JT; Schulz, S
Publishing Biomedical Predication Repository About MeSH Co-Occurrences in MEDLINE.
Stud Health Technol Inform. 2016; 228(12):765-769
PubMed
** Rodrigues, JM; Dhingra-Kumar, N; Schulz, S; Souvignet, J
A Patient Safety Information Model for Interoperability.
Stud Health Technol Inform. 2016; 223(1):77-84
PubMed
** Hellrich, J; Schulz, S; Buechel, S; Hahn, U
JuFiT: A Configurable Rule Engine for Filtering and Generating New Multilingual Umls Terms.
AMIA Annu Symp Proc. 2015; 2015: 604-10.
[OPEN ACCESS]
PubMed
** Kreuzthaler, M; Daumke, P; Schulz, S
Semantic retrieval and navigation in clinical document collections.
Stud Health Technol Inform. 2015; 212(3):9-14
PubMed
** Kreuzthaler, M; Schulz, S
Detection of sentence boundaries and abbreviations in clinical narratives.
BMC Med Inform Decis Mak. 2015; 15 Suppl 2(1):S4-S4
Doi: 10.1186/1472-6947-15-S2-S4
[OPEN ACCESS]
Web of Science
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** Kreuzthaler, M; Schulz, S; Berghold, A
Secondary use of electronic health records for building cohort studies through top-down information extraction.
J Biomed Inform. 2015; 53: 188-195.
Doi: 10.1016/j.jbi.2014.10.010
[OPEN ACCESS]
Web of Science
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** Martínez-Costa, C; Cornet, R; Karlsson, D; Schulz, S; Kalra, D
Semantic enrichment of clinical models towards semantic interoperability. The heart failure summary use case.
J Am Med Inform Assoc. 2015; 22(3): 565-576.
Doi: 10.1093/jamia/ocu013
[OPEN ACCESS]
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** Miñarro-Giménez, JA; Hellrich, J; Schulz, S
Acquisition of Character Translation Rules for Supporting SNOMED CT Localizations.
Stud Health Technol Inform. 2015; 210(12):597-601
PubMed
** Miñarro-Giménez, JA; Kreuzthaler, M; Bernhardt-Melischnig, J; Martínez-Costa, C; Schulz, S
Acquiring Plausible Predications from MEDLINE by Clustering MeSH Annotations.
Stud Health Technol Inform. 2015; 216(12):716-720
PubMed
** Miñarro-Giménez, JA; Kreuzthaler, M; Schulz, S
Knowledge Extraction from MEDLINE by Combining Clustering with Natural Language Processing.
AMIA Annu Symp Proc. 2015; 2015(12): 915-924.
[OPEN ACCESS]
PubMed
** Rodrigues, JM; Robinson, D; Della Mea, V; Campbell, J; Rector, A; Schulz, S; Brear, H; Üstün, B; Spackman, K; Chute, CG; Millar, J; Solbrig, H; Brand Persson, K
Semantic Alignment between ICD-11 and SNOMED CT.
Stud Health Technol Inform. 2015; 216: 790-794.
PubMed
** Rodrigues, JM; Schulz, S; Souvignet, J
Integrated care: an Information Model for Patient Safety and Vigilance Reporting Systems.
Stud Health Technol Inform. 2015; 210: 434-8.
PubMed
** Santana, F; Schulz, S; Campos, A; Novaes, MA
Towards a Formal Representation of Processes and Objects Regarding the Delivery of Telehealth Services: The Telehealth Ontology (TEON).
Stud Health Technol Inform. 2015; 216: 1108-1108.
PubMed
** Schulz, S; López-García, P
[Big data, medical language and biomedical terminology systems].
Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2015; 58(8):844-852
Doi: 10.1007/s00103-015-2190-x
Web of Science
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** Schulz, S; Martínez-Costa, C
Harmonizing SNOMED CT with BioTopLite: An Exercise in Principled Ontology Alignment.
Stud Health Technol Inform. 2015; 216(1): 832-836.
PubMed
** Uribe, GA; Blobel, B; López, DM; Schulz, S
A generic architecture for an adaptive, interoperable and intelligent type 2 diabetes mellitus care system.
Stud Health Technol Inform. 2015; 211: 121-31.
PubMed
** Ammenwerth, E; Aly, AF; Bürkle, T; Christ, P; Dormann, H; Friesdorf, W; Haas, C; Haefeli, WE; Jeske, M; Kaltschmidt, J; Menges, K; Möller, H; Neubert, A; Rascher, W; Reichert, H; Schuler, J; Schreier, G; Schulz, S; Seidling, HM; Stühlinger, W; Criegee-Rieck, M
Memorandum on the use of information technology to improve medication safety.
Methods Inf Med. 2014; 53(5):336-343
Doi: 10.3414/ME14-01-0040
Web of Science
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** Blonde, W; Antezana, E; Mironov, V; Schulz, S; Kuiper, M; De Baets, B
Using the relation ontology Metarel for modelling Linked Data as multi-digraphs
SEMANT WEB. 2014; 5(2): 115-126.
Doi: 10.3233/SW-130096
Web of Science
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** Braun, M; Brandt, AU; Schulz, S; Boeker, M
Validating archetypes for the Multiple Sclerosis Functional Composite.
BMC Med Inform Decis Mak. 2014; 14(4):64-64
Doi: 10.1186/1472-6947-14-64
[OPEN ACCESS]
Web of Science
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** Duque-Ramos, A; Boeker, M; Jansen, L; Schulz, S; Iniesta, M; Fernández-Breis, JT
Evaluating the Good Ontology Design Guideline (GoodOD) with the ontology quality requirements and evaluation method and metrics (OQuaRE).
PLoS One. 2014; 9(8):e104463-e104463
Doi: 10.1371/journal.pone.0104463
[OPEN ACCESS]
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** Legaz-García, Mdel C; Martínez-Costa, C; Miñarro-Giménez, JA; Fernández-Breis, JT; Schulz, S; Menárguez-Tortosa, M
Ontology patterns-based transformation of clinical information.
Stud Health Technol Inform. 2014; 205(12):1018-1022
PubMed
** Martínez-Costa, C; Kalra, D; Schulz, S
Improving EHR semantic interoperability: future vision and challenges.
Stud Health Technol Inform. 2014; 205(44):589-593
PubMed
** Martínez-Costa, C; Schulz, S
Ontology content patterns as bridge for the semantic representation of clinical information.
Appl Clin Inform. 2014; 5(3):660-669
Doi: 10.4338/ACI-2014-04-RA-0031
[OPEN ACCESS]
Web of Science
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** Rodrigues, JM; Schulz, S; Rector, A; Spackman, K; Millar, J; Campbell, J; Ustün, B; Chute, CG; Solbrig, H; Della Mea, V; Persson, KB
ICD-11 and SNOMED CT Common Ontology: circulatory system.
Stud Health Technol Inform. 2014; 205(44):1043-1047
PubMed
** Schulz, S; Rodrigues, JM; Rector, A; Spackman, K; Campbell, J; Ustün, B; Chute, CG; Solbrig, H; Della Mea, V; Millar, J; Brand Persson, K
What's in a class? Lessons learnt from the ICD - SNOMED CT harmonisation.
Stud Health Technol Inform. 2014; 205(44):1038-1042
PubMed
** Balkanyi, L; Schulz, S; Cornet, R; Bodenreider, O
Medical concept representation: the years beyond 2000.
Stud Health Technol Inform. 2013; 192(4):1011-1011
[OPEN ACCESS]
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** Boeker, M; Jansen, L; Grewe, N; Röhl, J; Schober, D; Seddig-Raufie, D; Schulz, S
Effects of guideline-based training on the quality of formal ontologies: a randomized controlled trial.
PLoS One. 2013; 8(5):e61425-e61425
Doi: 10.1371/journal.pone.0061425
[OPEN ACCESS]
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** Duque-Ramos, A; Fernandez-Breis, JT; Iniesta, M; Dumontier, M; Aranguren, ME; Schulz, S; Aussenac-Gilles, N; Stevens, R;
Evaluation of the OQuaRE framework for ontology quality.
EXPERT SYST APPL. 2013; 40(7): 2696-2703.
Doi: 10.1016/j.eswa.2012.11.004
Web of Science
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** Martínez-Costa, C; Bosca, D; Legaz-García, MC; Tao, C; Fernández Breis, JT; Schulz, S; Chute, CG
Isosemantic rendering of clinical information using formal ontologies and RDF.
Stud Health Technol Inform. 2013; 192(4):1085-1085
PubMed
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** Rodrigues, JM; Schulz, S; Rector, A; Spackman, K; Üstün, B; Chute, CG; Della Mea, V; Millar, J; Persson, KB
Sharing ontology between ICD 11 and SNOMED CT will enable seamless re-use and semantic interoperability.
Stud Health Technol Inform. 2013; 192(4):343-346
PubMed
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** Schulz, S; Bernhardt-Melischnig, J; Kreuzthaler, M; Daumke, P; Boeker, M
Machine vs. human translation of SNOMED CT terms.
Stud Health Technol Inform. 2013; 192:581-584
PubMed
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** Schulz, S; Jansen, L
Formal ontologies in biomedical knowledge representation.
Yearb Med Inform. 2013; 8(8):132-146
Doi: 10.1055/s-0038-1638845
PubMed
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** Schulz, S; Balkanyi, L; Cornet, R; Bodenreider, O
From concept representations to ontologies: a paradigm shift in health informatics?
Healthc Inform Res. 2013; 19(4):235-242
Doi: 10.4258/hir.2013.19.4.235
[OPEN ACCESS]
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** Andrade, AQ; Blondé, W; Hastings, J; Schulz, S
Process attributes in bio-ontologies.
BMC Bioinformatics. 2012; 13(6):217-217
Doi: 10.1186/1471-2105-13-217
[OPEN ACCESS]
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** Andrade, AQ; Kreuzthaler, M; Hastings, J; Krestyaninova, M; Schulz, S
Requirements for semantic biobanks.
Stud Health Technol Inform. 2012; 180(12):569-573
PubMed
** Balke, WT; Handels, H; Kalet, I; Kimura, M; Kulikowski, CA; Moura, LA; Pommert, A; Schulz, S
Discussion of "spatial-symbolic query engine in anatomy".
Methods Inf Med. 2012; 51(6): 479-488.
Doi: 10.1055/s-0038-1627051
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** Kreuzthaler, M; Schulz, S
Metonymies in medical terminologies. A SNOMED CT case study.
AMIA Annu Symp Proc. 2012; 2012(6):463-467
[OPEN ACCESS]
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** López-García, P; Boeker, M; Illarramendi, A; Schulz, S
Usability-driven pruning of large ontologies: the case of SNOMED CT.
J Am Med Inform Assoc. 2012; 19(e1):e102-e109
Doi: 10.1136/amiajnl-2011-000503
[OPEN ACCESS]
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** Schulz, S; Rector, A; Rodrigues, JM; Spackman, K
Competing interpretations of disorder codes in SNOMED CT and ICD.
AMIA Annu Symp Proc. 2012; 2012(3):819-827
[OPEN ACCESS]
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** Seddig-Raufie, D; Jansen, L; Schober, D; Boeker, M; Grewe, N; Schulz, S
Proposed actions are no actions: re-modeling an ontology design pattern with a realist top-level ontology.
J Biomed Semantics. 2012; 3 Suppl 2(4):S2-S2
Doi: 10.1186/2041-1480-3-S2-S2
[OPEN ACCESS]
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** Hastings, J; Schulz, S
Ontologies for human behavior analysis and their application to clinical data.
Int Rev Neurobiol. 2012; 103(4):89-107
Doi: 10.1016/B978-0-12-388408-4.00005-8
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** Boeker, M; Tudose, I; Hastings, J; Schober, D; Schulz, S
Unintended consequences of existential quantifications in biomedical ontologies.
BMC BIOINFORMATICS. 2011; 12(e1): 456-456.
Doi: 10.1186/1471-2105-12-456
[OPEN ACCESS]
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** Herre, H; Hoehndorf, R; Kelso, J; Loebe, F; Schulz, S
OBML - Ontologies in Biomedicine and Life Sciences.
J Biomed Semantics. 2011; 2 Suppl 4(2):I1-I1
Doi: 10.1186/2041-1480-2-S4-I1
[OPEN ACCESS]
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** Jansen, L; Schulz, S
Grains, components and mixtures in biomedical ontologies.
J Biomed Semantics. 2011; 2 Suppl 4(2):S2-S2
Doi: 10.1186/2041-1480-2-S4-S2
[OPEN ACCESS]
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** Kreuzthaler, M; Schulz, S
Truecasing clinical narratives.
Stud Health Technol Inform. 2011; 169: 589-593.
PubMed
** Santana, F; Schober, D; Medeiros, Z; Freitas, F; Schulz, S
Ontology patterns for tabular representations of biomedical knowledge on neglected tropical diseases.
BIOINFORMATICS. 2011; 27(13): i349-i356.
Doi: 10.1093/bioinformatics/btr226
[OPEN ACCESS]
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** Schulz, S; Cornet, R; Spackman, K
Consolidating SNOMED CTs ontological commitment.
Applied ontology. 2011; 6: 1-11.
Doi: 10.3233/AO-2011-0084
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** Schulz, S; Seddig, T; Hanser, S; Zaiß, A; Daumke, P
Checking Coding Completeness by Mining Discharge Summaries.
Stud Health Technol Inform. 2011; 169: 594-598.
PubMed
** Schulz, S; Spackman, K; James, A; Cocos, C; Boeker, M
Scalable representations of diseases in biomedical ontologies.
J Biomed Semantics. 2011; 2 Suppl 2(2):S6-S6
Doi: 10.1186/2041-1480-2-S2-S6
[OPEN ACCESS]
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** Brochhausen, M; Burgun, A; Ceusters, W; Hasman, A; Leong, TY; Musen, M; Oliveira, JL; Peleg, M; Rector, A; Schulz, S
Discussion of "biomedical ontologies: toward scientific debate".
Methods Inf Med. 2011; 50(3):217-236
Doi: 10.1055/s-0038-1625243
[OPEN ACCESS]
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** Daumke, P; Schulz, S; Muller, ML; Dzeyk, W; Prinzen, L; Pacheco, EJ; Cancian, PS; Nohama, P; Marko, K
Subword-based semantic retrieval of clinical and bibliographic documents.
METHODS INFORM MED. 2010; 49(2): 141-147.
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** Oleynik, M; Nohama, P; Cancian, PS; Schulz, S
Performance analysis of a POS tagger applied to discharge summaries in Portuguese.
Stud Health Technol Inform. 2010; 160(Pt 2):959-963
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** Ouagne, D; Nadah, N; Schober, D; Choquet, R; Teodoro, D; Colaert, D; Schulz, S; Jaulent, MC; Daniel, C
Ensuring HL7-based information model requirements within an ontology framework.
Stud Health Technol Inform. 2010; 160(Pt 2):912-916
PubMed
** Schober, D; Boeker, M; Bullenkamp, J; Huszka, C; Depraetere, K; Teodoro, D; Nadah, N; Choquet, R; Daniel, C; Schulz, S
The DebugIT core ontology: semantic integration of antibiotics resistance patterns.
Stud Health Technol Inform. 2010; 160(Pt 2):1060-1064
PubMed
** Schulz, S; Schober, D; Daniel, C; Jaulent, MC
Bridging the semantics gap between terminologies, ontologies, and information models.
Stud Health Technol Inform. 2010; 160(Pt 2):1000-1004
PubMed
** Schulz, S; Schober, D; Tudose, I; Stenzhorn, H
The Pitfalls of Thesaurus Ontologization - the Case of the NCI Thesaurus.
AMIA Annu Symp Proc. 2010; 2010(18):727-731
[OPEN ACCESS]
PubMed
** Blobel, B; Chronaki, C; Stegwee, R; Grain, H; Hammond, WE; Jaffe, C; Kalra, D; Koehn, M; Macary, F; Sabutsch, S; Sheetham, E; Schulz, S; Tan, M; HL7 Affiliates Council
HL7's comprehensive standards set and its international collaboration for enabling semantically interoperable eHealth and pHealth solutions.
Stud Health Technol Inform. 2009; 150:982-986
PubMed
** Blobel, B; Kalra, D; Koehn, M; Lunn, K; Pharow, P; Ruotsalainen, P; Schulz, S; Smith, B
The role of ontologies for sustainable, semantically interoperable and trustworthy EHR solutions.
Stud Health Technol Inform. 2009; 150:953-957
[OPEN ACCESS]
PubMed
** Cornet, R; Schulz, S
Relationship groups in SNOMED CT.
Stud Health Technol Inform. 2009; 150:223-227
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** Hanser, S; Zaiss, A; Schulz, S
Health care procedures.
METHODS INFORM MED. 2009; 48(6): 540-545.
Doi: 10.3414/ME09-01-0007
[OPEN ACCESS]
Web of Science
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** Marwede, D; Daumke, P; Marko, K; Lobsien, D; Schulz, S; Kahn, T
RadLex - German version: a radiological lexicon for indexing image and report information.
Rofo. 2009; 181(1):38-44
Doi: 10.1055/s-2008-1027895
[OPEN ACCESS]
Web of Science
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** Pacheco, E; Stenzhorn, H; Nohama, P; Paetzold, J; Schulz, S
Detecting Underspecification in SNOMED CT concept definitions through natural language processing.
AMIA Annu Symp Proc. 2009; 2009(1):492-496
[OPEN ACCESS]
PubMed
** Schulz, S; Beisswanger, E; van, den, Hoek, L; Bodenreider, O; van, Mulligen, EM
Alignment of the UMLS semantic network with BioTop: methodology and assessment.
Bioinformatics. 2009; 25(12): i69-76.
Doi: 10.1093/bioinformatics/btp194
[OPEN ACCESS]
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** Schulz, S; Boeker, M; Stenzhorn, H; Niggemann, J
Granularity issues in the alignment of upper ontologies.
Methods Inf Med. 2009; 48(2):184-189
Doi: 10.3414/ME9221
[OPEN ACCESS]
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** Schulz, S; Karlsson, D; Daniel, C; Cools, H; Lovis, C
Is the "International Classification for Patient Safety" a classification?
Stud Health Technol Inform. 2009; 150: 502-6.
PubMed
** Schulz, S; Stenzhorn, H; Boeker, M; Smith, B
Strengths and limitations of formal ontologies in the biomedical domain.
Rev Electron Comun Inf Inov Saude. 2009; 3(1):31-45
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Stud Health Technol Inform. 2009; 150: 228-232.
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** Hasman, A; Andersen, SK; Klein, GO; Schulz, S; Aarts, J; Mazzoleni, MC
MIE 2008: eHealth beyond the horizon--get IT there.
Methods Inf Med. 2009; 48(2):135-136
Doi: 10.1055/s-0038-1625236
Web of Science
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** Beisswanger, E; Lee, V; Kim, JJ; Rebholz-Schuhmann, D; Splendiani, A; Dameron, O; Schulz, S; Hahn, U
Gene Regulation Ontology (GRO): design principles and use cases.
Stud Health Technol Inform. 2008; 136:9-14
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Applying a biomedical top-level ontology to encode biological taxa.
AMIA Annu Symp Proc. 2008; 3(1):882-882
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** Hofmann-Apitius, M; Fluck, J; Furlong, L; Fornes, O; Kolarik, C; Hanser, S; Boeker, M; Schulz, S; Sanz, F; Klinger, R; Mevissen, T; Gattermayer, T; Oliva, B; Friedrich, CM
Knowledge environments representing molecular entities for the virtual physiological human.
Philos Transact A Math Phys Eng Sci. 2008; 366(1878):3091-3110
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[OPEN ACCESS]
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** Niggemann, JM; Gebert, A; Schulz, S
Modeling functional neuroanatomy for an anatomy information system.
J Am Med Inform Assoc. 2008; 15(5):671-678
Doi: 10.1197/jamia.M2358
[OPEN ACCESS]
Web of Science
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** Schulz, S; Boeker, M; Stenzhorn, H
How granularity issues concern biomedical ontology integration.
Stud Health Technol Inform. 2008; 136(1878):863-868
PubMed
** Schulz, S; Daumke, P; Fischer, P; Müller, M; Müller, ML
Evaluation of a document search engine in a clinical department system.
AMIA Annu Symp Proc. 2008; 181(1):647-651
[OPEN ACCESS]
PubMed
** Schulz, S; Klein, GO
SNOMED CT - advances in concept mapping, retrieval, and ontological foundations. Selected contributions to the Semantic Mining Conference on SNOMED CT (SMCS 2006).
BMC Med Inform Decis Mak. 2008; 8 Suppl 1(2):S1-S1
Doi: 10.1186/1472-6947-8-S1-S1
[OPEN ACCESS]
Web of Science
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** Schulz, S; Stenzhorn, H; Boeker, M
The ontology of biological taxa.
Bioinformatics. 2008; 24(13):i313-i321
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[OPEN ACCESS]
Web of Science
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** Stenzhorn, H; Schulz, S; Boeker, M; Smith, B
Adapting Clinical Ontologies in Real-World Environments.
J Univers. Comput Sci. 2008; 14(22):3767-3780
Doi: 10.3217/jucs-014-22-3767
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Web of Science
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** Schulz, S; Marko, K; Suntisrivaraporn, B
Formal representation of complex SNOMED CT expressions
BMC MED INFORM DECIS MAK. 2008; 8:
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[OPEN ACCESS]
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** Weissenberger, C; Jonassen, S; Schultze-Seemann, W; Schulz, S; Matar, H; Fischer, C; Fogel, J
Cultural differences among prostate cancer websites written in English, German, Hebrew or Arabic
INT J RADIAT ONCOL BIOL PHYS. 2008; 72(1):S502-S503.-50th Annual Meeting of the American-Society-for-Therapeutic-Radiology-and Oncology; SEP 21-25, 2008; Boston, MA.
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** Andrade, RL; Pacheco, E; Cancian, PS; Nohama, P; Schulz, S
Corpus-based error detection in a multilingual medical thesaurus.
Stud Health Technol Inform. 2007; 129(Pt 1): 529-534.
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** Bitencourt, JL; Cancian, PS; Pacheco, EJ; Nohama, P; Schulz, S
Thesaurus anomaly detection by user action monitoring.
Stud Health Technol Inform. 2007; 129(Pt 1): 655-659.
PubMed
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** Boeker, M; Stenzhorn, H; Kumpf, K; Bijlenga, P; Schulz, S; Hanser, S
The @neurIST ontology of intracranial aneurysms: providing terminological services for an integrated IT infrastructure.
AMIA Annu Symp Proc. 2007; 78 Suppl 1(1):56-60
[OPEN ACCESS]
PubMed
** Daumke, P; Marku, K; Poprat, M; Schulz, S; Klar, R
Biomedical information retrieval across languages.
Med Inform Internet Med. 2007; 32(2):131-147
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Web of Science
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** Markó, K; Daumke, P; Schulz, S; Klar, R; Hahn, U
Large-scale evaluation of a medical cross-language information retrieval system.
Stud Health Technol Inform. 2007; 129(Pt 1):392-396
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Towards the ontological foundations of symbolic biological theories.
Artif Intell Med. 2007; 39(3):237-250
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MONIST. 2007; 90(4): 499-522.
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Spatial location and its relevance for terminological inferences in bio-ontologies
BMC BIOINFORMATICS. 2007; 8:
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Stud Health Technol Inform. 2007; 127(Pt 2):268-275
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** Schulz, S; Suntisrivaraporn, B; Baader, F
SNOMED CT's problem list: ontologists' and logicians' therapy suggestions.
Stud Health Technol Inform. 2007; 129(Pt 1):802-806
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Towards a top-domain ontology for linking biomedical ontologies.
Stud Health Technol Inform. 2007; 129(Pt 2):1225-1229
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** Hahn, U; Schulz, S
Ontological foundations for biomedical sciences.
Artif Intell Med. 2007; 39(3):179-182
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** Hanser, S; Zaiss, A; Schulz, S
Comparison of ICHI and CCAM basic coding system.
Stud Health Technol Inform. 2006; 124(6):795-800
PubMed
** Marko, K; Baud, R; Zweigenbaum, P; Borin, L; Merkel, M; Schulz, S
Towards a multilingual medical lexicon.
AMIA Annu Symp Proc. 2006; 8(Pt 1):534-538
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** Marko, K; Schulz, S; Hahn, U
Automatic lexeme acquisition for a multilingual medical subword thesaurus.
Int J Med Inform. 2006; 76(2-3):184-189
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Towards an upper level ontology for molecular biology.
AMIA Annu Symp Proc. 2006; 39(3):694-698
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** Schulz, S; Hanser, S; Hahn, U; Rogers, J
The semantics of procedures and diseases in SNOMED CT.
METHODS INFORM MED. 2006; 45(4): 354-358.
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J BIOMED INFORM. 2006; 39(3): 350-361.
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Gastrointestinal cancer web sites: how do they address patients' concerns?
Int J Colorectal Dis. 2006; 21(7):615-624
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** Daumke, P; Markó, K; Poprat, M; Schulz, S
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AMIA Annu Symp Proc. 2005; 32(2):933-933
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** Daumke, P; Schulz, S; Markó, K
A CLIR Interface to a Web search engine.
AMIA Annu Symp Proc. 2005; 76(2-3):934-934
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** Marko, K; Schulz, S; Hahn, U
MorphoSaurus--design and evaluation of an interlingua-based, cross-language document retrieval engine for the medical domain.
Methods Inf Med. 2005; 44(4):537-545
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Stud Health Technol Inform. 2005; 116(3): 829-834.
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** Schulz, S; Daumke, P; Smith, B; Hahn, U
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AMIA Annu Symp Proc. 2005; 14(22):669-673
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PubMed
** Schulz, S; Hahn, U
Part-whole representation and reasoning in formal biomedical ontologies.
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A description logics approach to CGPS.
Stud Health Technol Inform. 2004; 101(3):137-141
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** Weissenberger, C; Jonassen, S; Beranek-Chiu, J; Neumann, M; Muller, D; Bartelt, S; Schulz, S; Monting, JS; Henne, K; Gitsch, G; Witucki, G
Breast cancer: patient information needs reflected in English and German web sites.
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Using cross-lingual information to cope with underspecification in formal ontologies.
Stud Health Technol Inform. 2003; 95(22):391-396
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** Honeck, M; Hahn, U; Klar, R; Schulz, S
Text retrieval based on medical subwords.
Stud Health Technol Inform. 2002; 90(2):241-245
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** Pschichholz, H; Boeker, M; Gaudes, R; Schulz, S; Klar, R
InfoServerPlus: providing a medical library as application service.
Stud Health Technol Inform. 2002; 90(22):189-194
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Medical knowledge reengineering--converting major portions of the UMLS into a terminological knowledge base.
Int J Med Inform. 2001; 64(2-3):207-221
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** Schulz, S; Honeck, M; Hahn, U
Indexing medical WWW documents by morphemes.
Stud Health Technol Inform. 2001; 84(Pt 1):266-270
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** Schulz, S; Klar, R
Virtual conferences in medicine.
Zentralbl Gynakol. 2001; 123(8):487-493
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** Hahn, U; Honeck, M; Piotrowski, M; Schulz, S
Subword segmentation - Leveling out morphological variations for medical document retrieval
J AMER MED INFORM ASSOC. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION; 229-233. ( Presented at: Annual Symposium of the American-Medical-Informatics-Association (AMIA 2001), WASHINGTON, D.C., NOV 03-07, 2001)
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** Schulz, S
Bidirectional mereological reasoning in anatomical knowledge bases
J AMER MED INFORM ASSOC. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION; 607-611. ( Presented at: Annual Symposium of the American-Medical-Informatics-Association (AMIA 2001), WASHINGTON, D.C., NOV 03-07, 2001)
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** Romacker, M; Hahn, U; Schulz, S; Klar, R
Semantic analysis of medical free texts.
Stud Health Technol Inform. 2000; 77(8):438-442
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** Schulz, S; Hahn, U
Morpheme-based, cross-lingual indexing for medical document retrieval.
Int J Med Inform. 2000; 58-59(Pt 1):87-99
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Automated coding of diagnoses - Three methods compared
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** Hahn, U; Romacker, M; Schulz, S
MEDSYNDIKATE - Design considerations for an ontology-based medical text understanding system
J AMER MED INFORM ASSOC. 2000; 330-334.
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** Hahn, U; Schulz, S
Towards very large terminological knowledge bases: A case study from medicine
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Small is beautiful - Compact semantics for medical language processing
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Streamlining semantic interpretation for medical narratives
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Part-whole reasoning in medical ontologies revisited - Introducing SEP triplets into classification-based description logics
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** Schulz, S; Zaiss, A; Brunner, R; Spinner, D; Klar, R
Conversion problems concerning automated mapping from ICD-10 to ICD-9.
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** Schulz, S; Schrader, U; Klar, R
Computer-based training and electronic publishing in the health sector: tools and trends.
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