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Synopsis
This book has discussed some stochastic models on cancer cell growth with Bi-variate stochastic processes. The pathophysiology of cancer growth was modeled with postulates of Poisson processes. In the first phase, the mathematical relations for various statistical measures like expected number, variances of both normal and mutant cells were derived for normal and mutant cells. The second phase deals with extension of proposed model to study the tumor behaviour during drug administration and during drug vacation as a part of cancer treatment with chemotherapy. Sensitivity analysis of the model is carried out with suitable simulated numerical data. Stochastic model for cancer growth as a result of spontaneous mutation and proliferation of cells during drug vacation and during chemotherapy were developed. The model is extended for two stage mutant cell growth. The third phase of the study has formulated two stochastic programming problems for optimal drug administration in drug presence and absence, for calculating the drug effectiveness during chemotherapy. Health care industry may make use of these studies for optimal management of disease
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Author:Dr Madhavi Kunchi,Lecturer, Mathematics, Govt.Degree College, Kuppam,Chittore,A.P., India. Research areas are Mathematical programming, Differential EquationsCo-Author:Dr. Tirupathi Rao, Padi. Associate Professor, Dept. of Statistics, Pondicherry University, Puducherry, India; Research areas are Stochastic Modeling, Operations Research
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Stochastic Modeling & Optimization Methods
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LAP LAMBERT Academic Publishing Aug 2013, 2013
ISBN 10: 3659443506
ISBN 13: 9783659443503
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book has discussed some stochastic models on cancer cell growth with Bi-variate stochastic processes. The pathophysiology of cancer growth was modeled with postulates of Poisson processes. In the first phase, the mathematical relations for various statistical measures like expected number, variances of both normal and mutant cells were derived for normal and mutant cells. The second phase deals with extension of proposed model to study the tumor behaviour during drug administration and during drug vacation as a part of cancer treatment with chemotherapy. Sensitivity analysis of the model is carried out with suitable simulated numerical data. Stochastic model for cancer growth as a result of spontaneous mutation and proliferation of cells during drug vacation and during chemotherapy were developed. The model is extended for two stage mutant cell growth. The third phase of the study has formulated two stochastic programming problems for optimal drug administration in drug presence and absence, for calculating the drug effectiveness during chemotherapy. Health care industry may make use of these studies for optimal management of disease 140 pp. Englisch. Seller Inventory # 9783659443503
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Stochastic Modeling & Optimization Methods : Studies on Cancer Growth and Control
Published by
LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659443506
ISBN 13: 9783659443503
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book has discussed some stochastic models on cancer cell growth with Bi-variate stochastic processes. The pathophysiology of cancer growth was modeled with postulates of Poisson processes. In the first phase, the mathematical relations for various statistical measures like expected number, variances of both normal and mutant cells were derived for normal and mutant cells. The second phase deals with extension of proposed model to study the tumor behaviour during drug administration and during drug vacation as a part of cancer treatment with chemotherapy. Sensitivity analysis of the model is carried out with suitable simulated numerical data. Stochastic model for cancer growth as a result of spontaneous mutation and proliferation of cells during drug vacation and during chemotherapy were developed. The model is extended for two stage mutant cell growth. The third phase of the study has formulated two stochastic programming problems for optimal drug administration in drug presence and absence, for calculating the drug effectiveness during chemotherapy. Health care industry may make use of these studies for optimal management of disease. Seller Inventory # 9783659443503
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Stochastic Modeling & Optimization Methods
Published by
LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659443506
ISBN 13: 9783659443503
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Madhavi KunchiAuthor:Dr Madhavi Kunchi,Lecturer, Mathematics, Govt.Degree College, Kuppam,Chittore,A.P., India. Research areas are Mathematical programming, Differential EquationsCo-Author:Dr. Tirupathi Rao, Padi. Associate Professor. Seller Inventory # 5156562
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Stochastic Modeling & Optimization Methods
Published by
LAP LAMBERT Academic Publishing Aug 2013, 2013
ISBN 10: 3659443506
ISBN 13: 9783659443503
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Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book has discussed some stochastic models on cancer cell growth with Bi-variate stochastic processes. The pathophysiology of cancer growth was modeled with postulates of Poisson processes. In the first phase, the mathematical relations for various statistical measures like expected number, variances of both normal and mutant cells were derived for normal and mutant cells. The second phase deals with extension of proposed model to study the tumor behaviour during drug administration and during drug vacation as a part of cancer treatment with chemotherapy. Sensitivity analysis of the model is carried out with suitable simulated numerical data. Stochastic model for cancer growth as a result of spontaneous mutation and proliferation of cells during drug vacation and during chemotherapy were developed. The model is extended for two stage mutant cell growth. The third phase of the study has formulated two stochastic programming problems for optimal drug administration in drug presence and absence, for calculating the drug effectiveness during chemotherapy. Health care industry may make use of these studies for optimal management of diseaseBooks on Demand GmbH, Überseering 33, 22297 Hamburg 140 pp. Englisch. Seller Inventory # 9783659443503
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Stochastic Modeling & Optimization Methods: Studies on Cancer Growth and Control
Published by
LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659443506
ISBN 13: 9783659443503
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