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

โœ Scribed by Kai M. Eggers; Johan Ellenius; Mikael Dellborg; Torgny Groth; Jonas Oldgren; Eva Swahn; Bertil Lindahl


Book ID
116544548
Publisher
Elsevier Science
Year
2007
Tongue
English
Weight
259 KB
Volume
114
Category
Article
ISSN
0167-5273

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๐Ÿ“œ SIMILAR VOLUMES


Early detection of acute myocardial infa
โœ W Brian Gibler; Larry M Lewis; Roy E Erb; Paul K Makens; Beth C Kaplan; Roxanne ๐Ÿ“‚ Article ๐Ÿ“… 1990 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 812 KB

Patients presenting to the emergency department with chest discomfort are a difficult problem for emergency physicians. Nearly 50% of patients with acute myocardial infarction (AMI) will initially have nondiagnostic ECGs on ED presentation. The purpose of this study was to determine if patients with