Natural language processing of German clinical colorectal cancer notes for guideline-based treatment evaluation.

Affiliation

Department of Computer Science, University of Applied Sciences and Arts, Dortmund, Germany. Electronic address: [Email]

Abstract

Colorectal cancer is the most commonly occurring cancer in Germany, and the second and third most commonly diagnosed cancer in women and men, respectively. The therapy for this disease is based primarily on the tumor stages, which are usually documented in an unstructured form in medical information systems. In order to re-use this knowledge, the information must be extracted and annotated using the correct terminology.

Keywords

Electronic health records,Information extraction,Knowledge management,Natural language processing,

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