Automatic identification of heart failure diagnostic criteria, using text analysis of clinical notes from electronic health records

Highlights ► Framingham heart failure criteria can be reliably detected in EHR clinical notes. ► Entity extractors, expert annotations, and guidelines are created simultaneously. ► We mitigate initial low recall of human coders when creating reference annotations.

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	International journal of medical informatics (Shannon, Ireland) Ireland), 2014-12, Vol.83 (12), p.983-992
Hauptverfasser:	Byrd, Roy J, Steinhubl, Steven R, Sun, Jimeng, Ebadollahi, Shahram, Stewart, Walter F
Format:	Artikel
Sprache:	eng
Schlagworte:	Automatic Data Processing Cohort Studies Data Mining - methods Data Mining - utilization Diagnostic criteria Electronic health records Electronic Health Records - utilization Heart failure Heart Failure - diagnosis Humans Internal Medicine Natural Language Processing Other Population Surveillance Primary Health Care Text mining
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!