Objective Bayesian Nets for Systems Modelling and Prognosis in Breast Cancer
| Abstract | Cancer treatment decisions should be based on all available evidence. But this evidence is complex and varied: it includes not only the patient’s symptoms and expert knowledge of the relevant causal processes, but also clinical databases relating to past patients, databases of observations made at the molecular level, and evidence encapsulated in scientific papers and medical informatics systems. Objective Bayesian nets offer a principled path to knowledge integration, and we show in this chapter how they can be applied to integrate various kinds of evidence in the cancer domain. This is important from the systems biology perspective, which needs to integrate data that concern different levels of analysis, and is also important from the point of view of medical informatics. | |||||||||
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Matt Williams & Jon Williamson (2006). Combining Argumentation and Bayesian Nets for Breast Cancer Prognosis. Journal of Logic, Language and Information 15 (1-2).
Roy Gilbar & Ora Gilbar (2009). The Medical Decision-Making Process and the Family: The Case of Breast Cancer Patients and Their Husbands. Bioethics 23 (3):183-192.
Megan Eide & Ann Milliken Pederson (2009). God, Disease, and Spiritual Dilemmas: Reading the Lives of Women with Breast Cancer. Zygon 44 (1):85-96.
Jurrit Bergsma (1994). Illness, the Mind, and the Body: Cancer and Immunology: An Introduction. Theoretical Medicine and Bioethics 15 (4).
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