Literature DB >> 15952607

Mathematical models for the early detection and treatment of colorectal cancer.

P R Harper1, S K Jones.   

Abstract

Colorectal cancer is a major cause of death for men and women in the Western world. When the cancer is detected through an awareness of the symptoms by a patient, typically it is at an advanced stage. It is possible to detect cancer at an early stage through screening and the marked differences in survival for early and late stages provide the incentive for the primary prevention or early detection of colorectal cancer. This paper considers mathematical models for colorectal cancer screening together with models for the treatment of patients. Illustrative results demonstrate that detailed attention to the processes involved in diseases, interventions and treatment enable us to combine data and expert knowledge from various sources. Thus a detailed operational model is a very useful tool in helping to make decisions about screening at national and local levels.

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Year:  2005        PMID: 15952607     DOI: 10.1007/s10729-005-0393-7

Source DB:  PubMed          Journal:  Health Care Manag Sci        ISSN: 1386-9620


  10 in total

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Journal:  Med Decis Making       Date:  1989 Jan-Mar       Impact factor: 2.583

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  10 in total
  4 in total

1.  Probability model for estimating colorectal polyp progression rates.

Authors:  Chaitra Gopalappa; Selen Aydogan-Cremaschi; Tapas K Das; Seza Orcun
Journal:  Health Care Manag Sci       Date:  2010-10-05

2.  Using simulation-optimization to construct screening strategies for cervical cancer.

Authors:  Laura A McLay; Christodoulos Foufoulides; Jason R W Merrick
Journal:  Health Care Manag Sci       Date:  2010-06-05

3.  Applying reinforcement learning techniques to detect hepatocellular carcinoma under limited screening capacity.

Authors:  Elliot Lee; Mariel S Lavieri; Michael L Volk; Yongcai Xu
Journal:  Health Care Manag Sci       Date:  2014-10-12

4.  Examining the diagnostic pathway for lung cancer patients in Wales using discrete event simulation.

Authors:  Tracey J England; Paul R Harper; Tom Crosby; Daniel Gartner; Edilson F Arruda; Kieran G Foley; Ian J Williamson
Journal:  Transl Lung Cancer Res       Date:  2021-03
  4 in total

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