title: Neural network analysis of biochemical markers for early assessment of acute myocardial infarction.
abstract: Neural network analysis was applied for early diagnosis/exclusion of acute myocardial infarction and prediction of infarct size. Eighty-eight patients admitted with onset of chest pain within 8 hours were included. Frequent blood samples for measurement of myoglobin, CK-MB and troponin-T were obtained and used in the development of a set of neural network components of a decision support system. The results indicate that this approach could provide useful support for assessment of patients with suspected AMI.
authors.affiliation: Department of Biomedical Informatics and Systems Analysis, University of Uppsala, Sweden.
authors.forename: J
authors.initials: J
authors.lastname: Ellenius
authors.forename: T
authors.initials: T
authors.lastname: Groth
authors.forename: B
authors.initials: B
authors.lastname: Lindahl
mesh_terms: D015415:Biomarkers; D003936:Diagnosis, Computer-Assisted; D006801:Humans; D009203:Myocardial Infarction / Q000175:diagnosis*; D016571:Neural Networks, Computer; D012372:ROC Curve; D012986:Software Validation; D013548:Sweden