Assessing surgical site infection risk factors using electronic medical records and text mining

American Journal of Infection Control

Volumn 42, Issue 3, 2014, Pages 333-336

  Michelson, James D ^a   Pariseau, Jenna S ^a   Paganelli, William C ^a  

^a UNIVERSITY OF VERMONT COLLEGE OF MEDICINE   (United States)

Author keywords

Surgery; Surveillance

Indexed keywords

CREATININE; GLUCOSE;

ADULT; AGE; ALCOHOL CONSUMPTION; BODY MASS; CHARLSON COMORBIDITY INDEX; COHORT ANALYSIS; COMORBIDITY; CONFERENCE PAPER; CREATININE BLOOD LEVEL; DIABETES MELLITUS; DRUG USE; ELECTRONIC MEDICAL RECORD; FEMALE; GLUCOSE BLOOD LEVEL; HUMAN; INFECTION RISK; JOINT PROSTHESIS; MAJOR CLINICAL STUDY; MALE; OPERATION DURATION; ORTHOPEDIC SURGEON; PREOPERATIVE PERIOD; RISK ASSESSMENT; SURGICAL INFECTION; TOBACCO USE; YOUNG ADULT;

SURGERY; SURVEILLANCE;

ADULT; AGED; COHORT STUDIES; DATA MINING; ELECTRONIC HEALTH RECORDS; EPIDEMIOLOGIC METHODS; FEMALE; HUMANS; MALE; MIDDLE AGED; RISK ASSESSMENT; SURGICAL WOUND INFECTION;

EID: 84896735530     PISSN: 01966553     EISSN: 15273296     Source Type: Journal    
DOI: 10.1016/j.ajic.2013.09.007     Document Type: Conference Paper

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