Automatic control theory applied to normal and cancer cell proliferation kinetics
Апстракт
In 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.
Кључне речи:
Modeling / Fuzzy logic / Cancer cell / Automatic control / Artificial neural networksИзвор:
Archive of Oncology, 1997, 5, 3, 121-128Издавач:
- Institute of Oncology Sremska Kamenica
Колекције
Институција/група
Mašinski fakultetTY - JOUR AU - Batinić, J. AU - Matija, Lidija AU - Debeljković, Dragutin Lj. AU - Pokrajac, M. AU - Koruga, Đuro PY - 1997 UR - https://machinery.mas.bg.ac.rs/handle/123456789/147 AB - In 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. PB - Institute of Oncology Sremska Kamenica T2 - Archive of Oncology T1 - Automatic control theory applied to normal and cancer cell proliferation kinetics EP - 128 IS - 3 SP - 121 VL - 5 UR - https://hdl.handle.net/21.15107/rcub_machinery_147 ER -
@article{ author = "Batinić, J. and Matija, Lidija and Debeljković, Dragutin Lj. and Pokrajac, M. and Koruga, Đuro", year = "1997", abstract = "In 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.", publisher = "Institute of Oncology Sremska Kamenica", journal = "Archive of Oncology", title = "Automatic control theory applied to normal and cancer cell proliferation kinetics", pages = "128-121", number = "3", volume = "5", url = "https://hdl.handle.net/21.15107/rcub_machinery_147" }
Batinić, J., Matija, L., Debeljković, D. Lj., Pokrajac, M.,& Koruga, Đ.. (1997). Automatic control theory applied to normal and cancer cell proliferation kinetics. in Archive of Oncology Institute of Oncology Sremska Kamenica., 5(3), 121-128. https://hdl.handle.net/21.15107/rcub_machinery_147
Batinić J, Matija L, Debeljković DL, Pokrajac M, Koruga Đ. Automatic control theory applied to normal and cancer cell proliferation kinetics. in Archive of Oncology. 1997;5(3):121-128. https://hdl.handle.net/21.15107/rcub_machinery_147 .
Batinić, J., Matija, Lidija, Debeljković, Dragutin Lj., Pokrajac, M., Koruga, Đuro, "Automatic control theory applied to normal and cancer cell proliferation kinetics" in Archive of Oncology, 5, no. 3 (1997):121-128, https://hdl.handle.net/21.15107/rcub_machinery_147 .