Mining high-dimensional administrative claims data to predict early hospital readmissions

Journal of the American Medical Informatics Association

Volumn 21, Issue 2, 2014, Pages 272-279

  He, Danning ^a,b   Mathews, Simon C ^c   Kalloo, Anthony N ^c   Hutfless, Susan ^c  

^a JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b VANDERBILT UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c JOHNS HOPKINS HOSPITAL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADMINISTRATIVE CLAIMS DATA; ALGORITHM; PORTABILITY; PREDICTIVE MODELLING; READMISSION; SENSITIVITY AND SPECIFICITY;

ACADEMIC MEDICAL CENTERS; ADULT; AGED; ALGORITHMS; ARTIFICIAL INTELLIGENCE; BALTIMORE; CURRENT PROCEDURAL TERMINOLOGY; DATA MINING; FEMALE; HOSPITAL ADMINISTRATION; HOSPITAL INFORMATION SYSTEMS; HUMANS; INSURANCE CLAIM REVIEW; INTERNATIONAL CLASSIFICATION OF DISEASES; MALE; MEDICAL RECORDS SYSTEMS, COMPUTERIZED; MIDDLE AGED; PATIENT READMISSION; RISK FACTORS; ROC CURVE;

EID: 84894080916     PISSN: 10675027     EISSN: 1527974X     Source Type: Journal    
DOI: 10.1136/amiajnl-2013-002151     Document Type: Article

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