Title
Parametric Feature Extraction through Error Minimization Applied to Medical Diagnosis.
Abstract
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 Lissack110.76
King-sun Fu21150690.24