On Some Transformations of Features in Machine Learning in Medicine

A new view is given to supervised classification problems by precedents on the basis of logical approaches and the possibility of their application in medicine. The basic logical and logical statistical models of classification (basic definitions, search, processing, and application of logical regul...

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Veröffentlicht in:Pattern recognition and image analysis 2018-10, Vol.28 (4), p.720-736
Hauptverfasser: Zhuravlev, Yu. I., Ryazanov, V. V., Sen’ko, O. V., Dokukin, A. A., Afanas’ev, P. A.
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container_start_page 720
container_title Pattern recognition and image analysis
container_volume 28
creator Zhuravlev, Yu. I.
Ryazanov, V. V.
Sen’ko, O. V.
Dokukin, A. A.
Afanas’ev, P. A.
description A new view is given to supervised classification problems by precedents on the basis of logical approaches and the possibility of their application in medicine. The basic logical and logical statistical models of classification (basic definitions, search, processing, and application of logical regularities of classes (LRCs); transition to other feature spaces; and the method of optimal reliable decompositions) and their verification are presented. Numerous applications in medicine and two problems of qualification assessment and choice of the treatment method are considered.
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subjects Classification
Computer Science
Image Processing and Computer Vision
Machine learning
Mathematical Method in Pattern Recognition
Medicine
Pattern Recognition
Statistical models
title On Some Transformations of Features in Machine Learning in Medicine
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