Automatically Identifying Health Outcome Information in MEDLINE Records | Zendy

Dina DemnerFushman | Zendy; B. Few | Zendy; Susan E. Hauser | Zendy; Grid Thoma | Zendy

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Automatically Identifying Health Outcome Information in MEDLINE Records

Author(s) -

Dina DemnerFushman,

B. Few,

Susan E. Hauser,

Grid Thoma

Publication year - 2005

Publication title -

journal of the american medical informatics association

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.614

H-Index - 150

eISSN - 1527-974X

pISSN - 1067-5027

DOI - 10.1197/jamia.m1911

Subject(s) - outcome (game theory) , medline , computer science , health records , information retrieval , data science , medicine , health care , political science , mathematics , mathematical economics , law

Understanding the effect of a given intervention on the patient's health outcome is one of the key elements in providing optimal patient care. This study presents a methodology for automatic identification of outcomes-related information in medical text and evaluates its potential in satisfying clinical information needs related to health care outcomes.

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