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A neural network trained to identify the presence of myocardial infarction bases diagnostic decision on nonlinear relationships between input variables

โœ Scribed by William G. Baxt


Publisher
Springer-Verlag
Year
1993
Tongue
English
Weight
633 KB
Volume
1
Category
Article
ISSN
0941-0643

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Analysis of the clinical variables drivi
โœ William G Baxt ๐Ÿ“‚ Article ๐Ÿ“… 1992 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 566 KB

Study objective: To determine which clinical variables drive the output of an artificial neural network trained to identify the presence of myocardial infarction. Design: Partial output analysis. Setting: Tertiary university teaching center. Participants: Seven hundred six patients more than 18 y