Using a genetic algorithm to predict evaluation of acute coronary syndromes

Nursing Research

Volumn 56, Issue 2, 2007, Pages 82-88

  Arslanian Engoren, Cynthia ^a   Engoren, Milo ^b  

^a UNIVERSITY OF MICHIGAN   (United States)

^b ST VINCENT MERCY MEDICAL CENTER   (United States)

Author keywords

Acute coronary syndromes; Genetic algorithms; Triage decisions

Indexed keywords

ACUTE DISEASE; ALGORITHM; ARTICLE; ASSOCIATION; ATTITUDE TO HEALTH; CLINICAL COMPETENCE; COMPUTER ASSISTED DIAGNOSIS; CORONARY ARTERY DISEASE; DECISION TREE; EDUCATION; EMERGENCY HEALTH SERVICE; EMERGENCY NURSING; EPIDEMIOLOGY; FEMALE; HUMAN; MALE; METHODOLOGY; MONTE CARLO METHOD; MORTALITY; NURSING; NURSING ASSESSMENT; NURSING EVALUATION RESEARCH; NURSING STAFF; PREDICTION AND FORECASTING; PSYCHOLOGICAL ASPECT; QUESTIONNAIRE; RISK; RISK FACTOR; SENSITIVITY AND SPECIFICITY; STANDARD; STATISTICAL MODEL; THORAX PAIN;

ACUTE DISEASE; ALGORITHMS; BIAS (EPIDEMIOLOGY); CHEST PAIN; CLINICAL COMPETENCE; CORONARY DISEASE; CUES; DECISION TREES; DIAGNOSIS, COMPUTER-ASSISTED; EMERGENCY NURSING; FEMALE; HEALTH KNOWLEDGE, ATTITUDES, PRACTICE; HUMANS; LOGISTIC MODELS; MALE; MONTE CARLO METHOD; NURSING ASSESSMENT; NURSING EVALUATION RESEARCH; NURSING STAFF; ODDS RATIO; PREDICTIVE VALUE OF TESTS; QUESTIONNAIRES; RISK FACTORS; SENSITIVITY AND SPECIFICITY; TRIAGE;

EID: 34247241057     PISSN: 00296562     EISSN: None     Source Type: Journal    
DOI: 10.1097/01.NNR.0000263965.16501.26     Document Type: Review

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