Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
Gewählte Publikation:
SHR Neuro Krebs Kardio Lipid Stoffw Microb
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
- Führende Autor*innen der Med Uni Graz
- Vera Ramos Jose Antonio
- Co-Autor*innen der Med Uni Graz
- Kreuzthaler Markus Eduard
- Schulz Stefan
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- Abstract:
- Clinical information systems contain free-text entries in different contexts to be used in a variety of application scenarios. In this study we investigate to what extent diagnosis codes using the disease classification system ICD-10 can be automatically post-assigned to patient-based short problem list entries, (50 characters maximum). Classifiers using random forest and Adaboost performed best with an F-measure of 0.87 and 0.85 running against an unbalanced data set, and an F-measure of 0.88 and 0.94 using a balanced data set, respectively.
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