Finding falls in ambulatory care clinical documents using statistical text mining

Journal of the American Medical Informatics Association

Volumn 20, Issue 5, 2013, Pages 906-914

  McCart, James A ^a   Berndt, Donald J ^b   Jarman, Jay ^c   Finch, Dezon K ^a   Luther, Stephen L ^a  

^a VETERANS AFFAIRS MEDICAL CENTER   (United States)

^b UNIVERSITY OF SOUTH FLORIDA   (United States)

^c EAST TENNESSEE STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AMBULATORY CARE; AREA UNDER THE CURVE; ARTICLE; DATA MINING; EMERGENCY WARD; FALLING; HUMAN; ICD-9-CM; INJURY; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MEDICAL RECORD; OUTPATIENT; PREDICTIVE VALUE; RECEIVER OPERATING CHARACTERISTIC; SEMANTICS; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; SUPPORT VECTOR MACHINE; TRAFFIC ACCIDENT;

ACCIDENTAL FALLS; AMBULATORY CARE; ELECTRONIC HEALTH RECORDS; TEXT MINING;

ACCIDENTAL FALLS; AMBULATORY CARE; AMBULATORY CARE INFORMATION SYSTEMS; AREA UNDER CURVE; DATA MINING; ELECTRONIC HEALTH RECORDS; HUMANS; LOGISTIC MODELS; MODELS, STATISTICAL; SUPPORT VECTOR MACHINES;

EID: 84882783040     PISSN: 10675027     EISSN: 1527974X     Source Type: Journal    
DOI: 10.1136/amiajnl-2012-001334     Document Type: Article

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