Prognostics of surgical site infections using dynamic health data

Journal of Biomedical Informatics

Volumn 65, Issue , 2017, Pages 22-33

  Ke, Chuyang ^a   Jin, Yan ^b   Evans, Heather ^b   Lober, Bill ^b   Qian, Xiaoning ^c   Liu, Ji ^a   Huang, Shuai ^b  

^a University of Rochester   (United States)

^b UNIVERSITY OF WASHINGTON   (United States)

^c Department of Electrical and Computer Engineering   (United States)

Author keywords

Machine learning; mHealth; Risk prediction; Surgical Site Infections (SSI)

Indexed keywords

ARTIFICIAL INTELLIGENCE; DECISION MAKING; HEALTH CARE; LEARNING SYSTEMS; OPTIMIZATION; SURGERY;

CONTINUOUS MEASUREMENTS; MHEALTH; MISSING DATA IMPUTATIONS; MOBILE HEALTH (M-HEALTH); OPTIMIZATION ALGORITHMS; RISK PREDICTIONS; STATE-OF-THE-ART METHODS; SURGICAL SITE INFECTIONS;

FORECASTING;

ALGORITHM; FORECASTING; HUMAN; PROGNOSIS; RISK FACTOR; STATISTICS AND NUMERICAL DATA; SURGICAL INFECTION; TELEMEDICINE;

ALGORITHMS; FORECASTING; HUMANS; PROGNOSIS; RISK FACTORS; SURGICAL WOUND INFECTION; TELEMEDICINE;

EID: 84997820960     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2016.10.021     Document Type: Article

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