Detection of clinically important colorectal surgical site infection using Bayesian network

Journal of Surgical Research

Volumn 209, Issue , 2017, Pages 168-173

  Sohn, Sunghwan ^a   Larson, David W ^a   Habermann, Elizabeth B ^a   Naessens, James M ^a   Alabbad, Jasim Y ^a   Liu, Hongfang ^a  

^a MAYO CLINIC   (United States)

Author keywords

Bayesian network; Colorectal surgery; Natural language processing; Surgical site infection

Indexed keywords

ARTICLE; BAYESIAN LEARNING; COLORECTAL SURGERY; CONTROLLED STUDY; ELECTRONIC MEDICAL RECORD; HUMAN; MAJOR CLINICAL STUDY; MEDICAL RECORD REVIEW; NATURAL LANGUAGE PROCESSING; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; RETROSPECTIVE STUDY; SURGEON; SURGICAL INFECTION; BAYES THEOREM; CLINICAL AUDIT; PROCEDURES; TOTAL QUALITY MANAGEMENT;

BAYES THEOREM; COLORECTAL SURGERY; HUMANS; MEDICAL AUDIT; NATURAL LANGUAGE PROCESSING; QUALITY IMPROVEMENT; RETROSPECTIVE STUDIES; SURGICAL WOUND INFECTION;

EID: 84994832127     PISSN: 00224804     EISSN: 10958673     Source Type: Journal    
DOI: 10.1016/j.jss.2016.09.058     Document Type: Article

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