Congestive heart failure information extraction framework for automated treatment performance measures assessment | Zendy

Stéphane M. Meystre | Zendy; Young-Jun Kim | Zendy; Glenn T. Gobbel | Zendy; Michael E. Matheny | Zendy; Andrew Redd | Zendy; Bruce E. Bray | Zendy; Jennifer H. Garvin | Zendy

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Congestive heart failure information extraction framework for automated treatment performance measures assessment

Author(s) -

Stéphane M. Meystre,

Young-Jun Kim,

Glenn T. Gobbel,

Michael E. Matheny,

Andrew Redd,

Bruce E. Bray,

Jennifer H. Garvin

Publication year - 2016

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 - 10.1093/jamia/ocw097

Subject(s) - heart failure , ejection fraction , recall , medicine , information extraction , scalability , precision and recall , clinical practice , artificial intelligence , computer science , database , physical therapy , psychology , cognitive psychology

This paper describes a new congestive heart failure (CHF) treatment performance measure information extraction system - CHIEF - developed as part of the Automated Data Acquisition for Heart Failure project, a Veterans Health Administration project aiming at improving the detection of patients not receiving recommended care for CHF.

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