An artificial neural network system for diagnosis of acute myocardial infarction (AMI) in the accident and emergency department: Evaluation and comparison with serum myoglobin measurements

Computer Methods and Programs in Biomedicine

Volumn 52, Issue 2, 1997, Pages 93-103

  Kennedy, R L ^a   Harrison, R F ^b   Burton, A M ^c   Fraser, H S ^c   Hamer, W G ^d   MacArthur, D ^d   McAllum, R ^d   Steedman, D J ^d  

^a UNIVERSITY OF SUNDERLAND   (United Kingdom)

^b UNIVERSITY OF SHEFFIELD   (United Kingdom)

^c UNIVERSITY OF EDINBURGH   (United Kingdom)

^d ROYAL INFIRMARY OF EDINBURGH   (United Kingdom)

Author keywords

back propagation; myocardial infarction; myoglobin; neural network

Indexed keywords

CARDIOLOGY; DIAGNOSIS; NEURAL NETWORKS; PATTERN RECOGNITION;

MYOCARDIAL INFARCTION;

MEDICAL COMPUTING;

MYOGLOBIN;

ACUTE HEART INFARCTION; ARTICLE; ARTIFICIAL NEURAL NETWORK; SERUM;

ADULT; AGED; AGED, 80 AND OVER; ANGINA PECTORIS; CHEST PAIN; DECISION SUPPORT TECHNIQUES; DIAGNOSIS, COMPUTER-ASSISTED; EMERGENCY SERVICE, HOSPITAL; EVALUATION STUDIES; FEMALE; HUMANS; MALE; MIDDLE AGED; MYOCARDIAL INFARCTION; MYOGLOBIN; NEURAL NETWORKS (COMPUTER); PROSPECTIVE STUDIES; SENSITIVITY AND SPECIFICITY;

EID: 0031081487     PISSN: 01692607     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0169-2607(96)01782-8     Document Type: Article

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