Intelligent analysis in predicting outcome of out-of-hospital cardiac arrest

Computer Methods and Programs in Biomedicine

Volumn 95, Issue 2 SUPPL., 2009, Pages

  Krizmaric, Miljenko ^a   Verlic, Mateja ^a   Stiglic, Gregor ^a   Grmec, Stefek ^a,b,c   Kokol, Peter ^a  

^a UNIVERSITY OF MARIBOR   (Slovenia)

^b UNIVERSITY OF LJUBLJANA   (Slovenia)

^c Center for Emergency Medicine   (Slovenia)

Author keywords

Cardiac arrest; Machine learning; Out of hospital resuscitation

Indexed keywords

ADVANCED LIFE SUPPORTS; CARDIAC ARREST; CARDIOPULMONARY RESUSCITATION; CLASSIFICATION TECHNIQUE; EXPIRED AIR; INTELLIGENT ANALYSIS; MACHINE LEARNING; MACHINE LEARNING METHODS; NON-INVASIVE; OUT-OF-HOSPITAL RESUSCITATION; PREDICTING OUTCOMES; PROGNOSTIC FACTORS; SURVIVAL RATE; VENTRICULAR FIBRILLATION;

EDUCATION; HOSPITALS; ROBOT LEARNING;

RESUSCITATION;

ADRENALIN; VASOPRESSIN;

ARTICLE; ARTIFICIAL NEURAL NETWORK; ASYSTOLE; BAYESIAN LEARNING; DECISION TREE; DEFIBRILLATION; DISEASE CLASSIFICATION; EMERGENCY HEALTH SERVICE; HEART ARREST; HEART VENTRICLE FIBRILLATION; HOSPITAL SERVICE; HUMAN; INTELLIGENCE; K NEAREST NEIGHBOR; MACHINE LEARNING; NON INVASIVE PROCEDURE; PREDICTION; PROGNOSIS; RANDOM FOREST; RESUSCITATION; SUPPORT VECTOR MACHINE; SURVIVAL RATE; TREATMENT OUTCOME;

AGE FACTORS; ARTIFICIAL INTELLIGENCE; HEART ARREST; HUMANS; MODELS, THEORETICAL; OUTCOME ASSESSMENT (HEALTH CARE); PROGNOSIS; SEX FACTORS;

EID: 67650135504     PISSN: 01692607     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cmpb.2009.02.013     Document Type: Article

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