A Novel Model for Predicting Rehospitalization Risk Incorporating Physical Function, Cognitive Status, and Psychosocial Support Using Natural Language Processing

Medical Care

Volumn 55, Issue 3, 2017, Pages 261-266

  Greenwald, Jeffrey L ^a   Cronin, Patrick R ^a   Carballo, Victoria ^b   Danaei, Goodarz ^c   Choy, Garry ^a  

^a MASSACHUSETTS GENERAL HOSPITAL   (United States)

^b PARTNERS HEALTHCARE   (United States)

^c HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

care transitions; hospital discharge; hospitalized patients; natural language processing; readmission; risk prediction

Indexed keywords

ARTICLE; COGNITION; HOSPITAL ADMISSION; HOSPITAL PATIENT; HOSPITAL READMISSION; HUMAN; LENGTH OF STAY; MAJOR CLINICAL STUDY; MEDICAL RECORD; NATURAL LANGUAGE PROCESSING; PHYSICAL ACTIVITY; PREDICTION; PRIORITY JOURNAL; PSYCHOSOCIAL CARE; SENSITIVITY ANALYSIS; HEALTH STATUS; INFORMATION PROCESSING; MENTAL HEALTH; RISK ASSESSMENT; RISK FACTOR; SOCIAL SUPPORT; STATISTICS AND NUMERICAL DATA; THEORETICAL MODEL; UNIVERSITY HOSPITAL;

ACADEMIC MEDICAL CENTERS; COGNITION; FOCUS GROUPS; HEALTH STATUS; HUMANS; MENTAL HEALTH; MODELS, THEORETICAL; NATURAL LANGUAGE PROCESSING; PATIENT READMISSION; RISK ASSESSMENT; RISK FACTORS; SOCIAL SUPPORT;

EID: 84987900213     PISSN: 00257079     EISSN: 15371948     Source Type: Journal    
DOI: 10.1097/MLR.0000000000000651     Document Type: Article

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