Mathematical modelling for early detection and treatment of cancer
Mathematical modelling for early detection and treatment of cancer
Cancer is one of the major health problems in the UK and many other countries. For some cancers, early detection can mean easier treatment, better prognosis, and improved survival rate for the patients. Early detection and treatment of cancer involve complexity, variability, uncertainty, use of scarce resources, constraints, and options for actions at policy and operational levels. Mathematical models are well suited for dealing with these difficulties. Mathematical analysis, data from various sources including cancer registers, Office of Population Censuses and Surveys, hospitals, published papers and reports, and advice from cancer specialists have contributed to the development of detailed stochastic models for early detection and treatment for breast and colorectal cancer. The models are too complicated for general analytical solutions and a combination of numerical methods and simulation was needed for the solutions. The models can provide helpful information for evolving good policies for early detection of cancer and evaluation of various treatment options.
University of Southampton
Jones, Simon Keith
6cdc77c3-05ea-44b3-a1aa-026fa2db91a6
1997
Jones, Simon Keith
6cdc77c3-05ea-44b3-a1aa-026fa2db91a6
Jones, Simon Keith
(1997)
Mathematical modelling for early detection and treatment of cancer.
University of Southampton, Doctoral Thesis.
Record type:
Thesis
(Doctoral)
Abstract
Cancer is one of the major health problems in the UK and many other countries. For some cancers, early detection can mean easier treatment, better prognosis, and improved survival rate for the patients. Early detection and treatment of cancer involve complexity, variability, uncertainty, use of scarce resources, constraints, and options for actions at policy and operational levels. Mathematical models are well suited for dealing with these difficulties. Mathematical analysis, data from various sources including cancer registers, Office of Population Censuses and Surveys, hospitals, published papers and reports, and advice from cancer specialists have contributed to the development of detailed stochastic models for early detection and treatment for breast and colorectal cancer. The models are too complicated for general analytical solutions and a combination of numerical methods and simulation was needed for the solutions. The models can provide helpful information for evolving good policies for early detection of cancer and evaluation of various treatment options.
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Published date: 1997
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Local EPrints ID: 463040
URI: http://eprints.soton.ac.uk/id/eprint/463040
PURE UUID: c8f30802-716c-4037-896d-ac18ed9d5885
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Date deposited: 04 Jul 2022 20:40
Last modified: 23 Jul 2022 01:09
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Author:
Simon Keith Jones
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