Title | ||
---|---|---|
Parametric Feature Extraction through Error Minimization Applied to Medical Diagnosis. |
Abstract | ||
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Feature extraction for parametric problems is carried out via the direct minimization of the probability of error estimated by the F-method. The proposed methods for feature ordering and feature extraction are applied to the medical diagnosis of two cancer diseases (cancer of the pancreas and primary cancer of the liver) with encouraging results. |
Year | DOI | Venue |
---|---|---|
1976 | 10.1109/TSMC.1976.4309566 | IEEE Transactions on Systems, Man and Cybernetics |
Keywords | Field | DocType |
iterative methods,probability,feature extraction,medical diagnosis,pattern recognition,cancer,probability of error | Pattern recognition,Iterative method,Computer science,Feature extraction,Minification,Parametric statistics,Artificial intelligence,Probability of error,Machine learning,Medical diagnosis | Journal |
Volume | Issue | ISSN |
6 | 9 | 0018-9472 |
Citations | PageRank | References |
1 | 0.42 | 3 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Tsvi Lissack | 1 | 1 | 0.76 |
King-sun Fu | 2 | 1150 | 690.24 |