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Updated: May 29, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
Published on: September 20, 2018
Contextualization in automatic extraction of drugs from hospital patient records
Svetla Boytcheva1, Dimitar Tcharaktchiev, Galia Angelova
1Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Sofia, Bulgaria.
Abstract:
Information Extraction (IE) from medical texts aims at the automatic recognition of entities and relations of interests. IE is based on shallow analysis and considers only sentences containing important words. Thus IE of drugs from discharge letters can identify as 'current' some past or future medication events. This article presents heuristic observations enabling to filter drugs that are taken by the patients during the hospitalization. These heuristics are based on the default PR structure and linguistic expressions signaling temporal and conditional markers. They are integrated in a system for drug extraction from hospital Patient Records (PRs) in Bulgarian language. Present evaluation results are summarized as well.
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