Artificial neural network algorithms for early diagnosis of acute myocardial infarction and prediction of infarct size in chest pain patients

International Journal of Cardiology

Volumn 114, Issue 3, 2007, Pages 366-374

  Eggers, Kai M ^a   Ellenius, Johan ^b   Dellborg, Mikael ^c   Groth, Torgny ^a   Oldgren, Jonas ^a   Swahn, Eva ^d   Lindahl, Bertil ^a  

^a UPPSALA UNIVERSITY HOSPITAL   (Sweden)

^b KAROLINSKA INSTITUTE   (Sweden)

^c SAHLGRENSKA UNIVERSITY HOSPITAL   (Sweden)

^d LINKÖPING UNIVERSITY HOSPITAL   (Sweden)

Author keywords

Artificial neural networks; Chest pain; Infarct size; Myocardial infarction; Troponin

Indexed keywords

CREATINE KINASE MB; MYOGLOBIN; TROPONIN I;

ACUTE HEART INFARCTION; ADULT; AGED; ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; CLINICAL TRIAL; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC VALUE; EARLY DIAGNOSIS; ELECTROCARDIOGRAPHY; FEMALE; FOLLOW UP; HEART INFARCTION SIZE; HUMAN; MAJOR CLINICAL STUDY; MALE; PREDICTION; PRIORITY JOURNAL; PROTEIN BLOOD LEVEL; THORAX PAIN; VALIDATION PROCESS;

ALGORITHMS; BIOLOGICAL MARKERS; CHEST PAIN; CHI-SQUARE DISTRIBUTION; DIAGNOSIS, DIFFERENTIAL; ELECTROCARDIOGRAPHY; FEMALE; HUMANS; MALE; MYOCARDIAL INFARCTION; MYOGLOBIN; NEURAL NETWORKS (COMPUTER); PREDICTIVE VALUE OF TESTS; PROSPECTIVE STUDIES; ROC CURVE; SENSITIVITY AND SPECIFICITY; TROPONIN I;

EID: 33845214720     PISSN: 01675273     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijcard.2005.12.019     Document Type: Article

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