Classification and prediction of erythemato-squamous diseases through tensor-based learning

DOI10.1007/S40010-018-0563-XzbMath1497.68409OpenAlexW2901671551MaRDI QIDQ828429

K. S. Ravichandran, R. Krishankumar, N. Badrinath, G. Gopinath, J. Premaladha

Publication date: 8 January 2021

Published in: Proceedings of the National Academy of Sciences, India. Section A. Physical Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s40010-018-0563-x

zbMATH Keywords

tensor decompositionsupport vector machinesupport tensor machineerythemato-squamous diseasesvector- and tensor-based data representation

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Medical applications (general) (92C50)

Uses Software

• UCI-ml

Cites Work

• Feature selection with dynamic mutual information
• Unsupervised stratification of cross-validation for accuracy estimation
• Fuzzy identification of systems and its applications to modeling and control
• 10.1162/153244303322753616
• Unnamed Item

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