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    Optimizing Personalized Treatment Selection for Partially Observable Chronic Conditions 

    Gong, Jue
    For many chronic diseases, an individual patient may experience a wide variety of progres- sion pathways. Personalized medicine needs tools to predict the trajectory of an individual patient’s disease progression, which can in turn enable clinicians to optimize the sequence of treatments. The objective of this thesis is to ...

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    Author
    Gong, Jue (1)
    Subjectdepression (1)Industrial engineering (1)
    medical decision making (1)
    Operations research (1)partially observable Markov Decision Process (1)
    robust optimization (1)
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