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2000

Planning treatment of ischemic heart disease with partially observable Markov decision processes

8 years 11 months ago
Planning treatment of ischemic heart disease with partially observable Markov decision processes
Diagnosis of a disease and its treatment are not separate, one-shot activities. Instead, they are very often dependent and interleaved over time. This is mostly due to uncertainty about the underlying disease, uncertainty associated with the response of a patient to the treatment and varying cost of different diagnostic (investigative) and treatment procedures. The framework of partially observable Markov decision processes (POMDPs) developed and used in the operations research, control theory and artificial intelligence communities is particularly suitable for modeling such a complex decision process. In this paper, we show how the POMDP framework can be used to model and solve the problem of the management of patients with ischemic heart disease (IHD), and demonstrate the modeling advantages of the framework over standard decision formalisms.
Milos Hauskrecht, Hamish S. F. Fraser
Added 17 Dec 2010
Updated 17 Dec 2010
Type Journal
Year 2000
Where ARTMED
Authors Milos Hauskrecht, Hamish S. F. Fraser
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