Medizinische Universität Graz - Research portal
Selected Publication:
SHR Neuro Cancer Cardio Lipid Metab Microb
Oleynik, M; Finger, M; Patrão, DF.
Automated Classification of Pathology Reports.
Stud Health Technol Inform. 2015; 216(11): 1040-1040.
PubMed
- Leading authors Med Uni Graz
- Oleynik Michel
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- Abstract:
- This work develops an automated classifier of pathology reports which infers the topography and the morphology classes of a tumor using codes from the International Classification of Diseases for Oncology (ICD-O). Data from 94,980 patients of the A.C. Camargo Cancer Center was used for training and validation of Naive Bayes classifiers, evaluated by the F1-score. Measures greater than 74% in the topographic group and 61% in the morphologic group are reported. Our work provides a successful baseline for future research for the classification of medical documents written in Portuguese and in other domains.
- Find related publications in this database (using NLM MeSH Indexing)
- Brazil - epidemiology
- Data Mining - methods
- Decision Support Systems, Clinical -
- Diagnosis, Computer-Assisted - methods
- International Classification of Diseases -
- Natural Language Processing -
- Neoplasms - diagnosis
- Neoplasms - epidemiology
- Neoplasms - pathology
- Pathology - classification
- Pattern Recognition, Automated - methods
- Prevalence -
- Reproducibility of Results -
- Sensitivity and Specificity -