Using machine learning algorithms to guide rehabilitation planning for home care clients

BMC Medical Informatics and Decision Making

Volumn 7, Issue , 2007, Pages

  Zhu, Mu ^a   Zhang, Zhanyang ^a   Hirdes, John P ^a,b   Stolee, Paul ^a,c  

^a UNIVERSITY OF WATERLOO   (Canada)

^b Homewood Health Centre Guelph   (Canada)

^c Dept Kinesiology   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ARTICLE; CLINICAL ASSESSMENT TOOL; CLINICAL PRACTICE; CONTROLLED STUDY; DAILY LIFE ACTIVITY; DATA ANALYSIS; FALSE NEGATIVE RESULT; FALSE POSITIVE RESULT; FEMALE; HEALTH CARE PLANNING; HEALTH STATUS; HOME CARE; HOSPITAL DISCHARGE; HUMAN; K NEAREST NEIGHBOR; LEARNING ALGORITHM; MACHINE LEARNING; MAJOR CLINICAL STUDY; MALE; PRACTICE GUIDELINE; PREDICTION; SUPPORT VECTOR MACHINE; ALGORITHM; ARTIFICIAL INTELLIGENCE; COMPARATIVE STUDY; DECISION SUPPORT SYSTEM; DEMENTIA; EVALUATION; GERIATRIC ASSESSMENT; LONG TERM CARE; ORGANIZATION AND MANAGEMENT; REHABILITATION;

ACTIVITIES OF DAILY LIVING; AGED; AGED, 80 AND OVER; ALGORITHMS; ARTIFICIAL INTELLIGENCE; DECISION MAKING, COMPUTER-ASSISTED; DEMENTIA; FEMALE; GERIATRIC ASSESSMENT; HOME CARE SERVICES; HUMANS; LONG-TERM CARE; MALE; REHABILITATION;

EID: 38949083897     PISSN: None     EISSN: 14726947     Source Type: Journal    
DOI: 10.1186/1472-6947-7-41     Document Type: Article

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