Literature DB >> 21893805

Contextualization in automatic extraction of drugs from hospital patient records.

Svetla Boytcheva1, Dimitar Tcharaktchiev, Galia Angelova.   

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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Year:  2011        PMID: 21893805

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  2 in total

1.  Clinical decision support with automated text processing for cervical cancer screening.

Authors:  Kavishwar B Wagholikar; Kathy L MacLaughlin; Michael R Henry; Robert A Greenes; Ronald A Hankey; Hongfang Liu; Rajeev Chaudhry
Journal:  J Am Med Inform Assoc       Date:  2012-04-29       Impact factor: 4.497

Review 2.  Clinical Natural Language Processing in languages other than English: opportunities and challenges.

Authors:  Aurélie Névéol; Hercules Dalianis; Sumithra Velupillai; Guergana Savova; Pierre Zweigenbaum
Journal:  J Biomed Semantics       Date:  2018-03-30
  2 in total

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