On Some Transformations of Features in Machine Learning in Medicine

作     者：Zhuravlev, Yu. I. Ryazanov, V.V. Sen’ko, O.V. Dokukin, A.A. Afanas’ev, P.A. 

作者机构：Dorodnitsyn Computing Center Federal Research Center "Informatics and Control" Russian Academy of Sciences Vavilova str. 44 Building 2 Moscow119333 Russia Faculty of Computational Mathematics and Cybernetics Moscow State University Lomonosovsky pr. 27/7 Moscow119992 Russia 

出 版 物：《Pattern Recognition and Image Analysis》 (Pattern Recogn. Image Anal.)

年 卷 期：2018年第28卷第4期

页      面：720-736页

核心收录：

学科分类：0810[工学-信息与通信工程] 081203[工学-计算机应用技术] 0817[工学-化学工程与技术] 08[工学] 0835[工学-软件工程] 0703[理学-化学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：This work was supported in part by the project no. 0063-2016-0003 and by the Russian Foundation for Basic Research  project nos. 18-51-05011 Arm_a  18-01-00557 a  and 17-01-00634 a 

主　　题：Supervised learning 

摘      要：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. © 2018, Pleiades Publishing, Ltd.