Syndrome approach for computer recognition of fuzzy systems and its application to immunological diagnostics and prognosis of human cancer

DOI10.1016/0895-7177(96)00021-0zbMath0858.92018OpenAlexW1988974553MaRDI QIDQ1921080

A. V. Ivshina, A. V. Kuznetsova, O. V. Sen'ko, Vladimir A. Kuznetsov

Publication date: 23 March 1997

Published in: Mathematical and Computer Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0895-7177(96)00021-0

zbMATH Keywords

algorithmpattern recognitionmissing datalikelihood functiondiagnosticsbloodjackknifeosteosarcomaprognosismetastasesflow cytometry measurementslymphocyte subpopulationspreoperation chemotherapystatistical weighted syndromesSWS methodthree-level feedback processing of fuzzy sets

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10) Medical applications (general) (92C50)

Cites Work

• Nonlinear dynamics of immunogenic tumors: Parameter estimation and global bifurcation analysis
• Neural networks: A review from a statistical perspective. With comments and a rejoinder by the authors
• Fuzzy sets
• Decision-Making in a Fuzzy Environment
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