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Automatic control theory applied to normal and cancer cell proliferation kinetics

dc.creatorBatinić, J.
dc.creatorMatija, Lidija
dc.creatorDebeljković, Dragutin Lj.
dc.creatorPokrajac, M.
dc.creatorKoruga, Đuro
dc.date.accessioned2022-09-19T15:20:46Z
dc.date.available2022-09-19T15:20:46Z
dc.date.issued1997
dc.identifier.issn0354-2351
dc.identifier.urihttps://machinery.mas.bg.ac.rs/handle/123456789/147
dc.description.abstractIn this paper a short review of the existing mathematical models of cell proliferation kinetics is given. The multicompartmental model of the healthy and malignant cells with control in state space is given. The optimization method of the therapeutic process, which would an optimal drug administration make possible in the manner that maximizes the recovery of the normale tissue and the destruction of the tumor tissue is presented. The basic concepts of the fuzzy logic theory in the biological systems modeling with an example of the fuzzy system for optimization of therapeutic process are proposed.en
dc.publisherInstitute of Oncology Sremska Kamenica
dc.rightsrestrictedAccess
dc.sourceArchive of Oncology
dc.subjectModelingen
dc.subjectFuzzy logicen
dc.subjectCancer cellen
dc.subjectAutomatic controlen
dc.subjectArtificial neural networksen
dc.titleAutomatic control theory applied to normal and cancer cell proliferation kineticsen
dc.typearticle
dc.rights.licenseARR
dc.citation.epage128
dc.citation.issue3
dc.citation.other5(3): 121-128
dc.citation.spage121
dc.citation.volume5
dc.identifier.rcubhttps://hdl.handle.net/21.15107/rcub_machinery_147
dc.identifier.scopus2-s2.0-0030795088
dc.type.versionpublishedVersion


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