Data-driven decisions for reducing readmissions for heart failure: General methodology and case study

PLoS ONE

Volumn 9, Issue 10, 2014, Pages

  Bayati, Mohsen ^a   Braverman, Mark ^b   Gillam, Michael ^c   Mack, Karen M ^c   Ruiz, George ^c   Smith, Mark S ^c   Horvitz, Eric ^d  

^a STANFORD UNIVERSITY   (United States)

^b PRINCETON UNIVERSITY   (United States)

^c WASHINGTON HOSPITAL CENTER   (United States)

^d MICROSOFT RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AREA UNDER THE CURVE; ARTICLE; CALIBRATION; CASE STUDY; COHORT ANALYSIS; CONTROLLED STUDY; COST CONTROL; COST EFFECTIVENESS ANALYSIS; DATA BASE; ELECTRONIC MEDICAL RECORD; HEART FAILURE; HOSPITAL DISCHARGE; HOSPITAL READMISSION; HUMAN; MAJOR CLINICAL STUDY; MATHEMATICAL ANALYSIS; MEDICAL DECISION MAKING; METHODOLOGY; PREDICTION; RECEIVER OPERATING CHARACTERISTIC; RETROSPECTIVE STUDY; SENSITIVITY ANALYSIS; STATISTICAL ANALYSIS; ECONOMICS; FACTUAL DATABASE; STATISTICS AND NUMERICAL DATA; THEORETICAL MODEL;

DATABASES, FACTUAL; HEART FAILURE; HUMANS; MODELS, THEORETICAL; PATIENT READMISSION; RETROSPECTIVE STUDIES;

EID: 84907734954     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0109264     Document Type: Article

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