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A Markov decision process approach to optimizing cancer therapy using multiple modalities. (arXiv:1706.09481v1 [math.OC])
来源于:arXiv
There are several different modalities, e.g., surgery, chemotherapy, and
radiotherapy, that are currently used to treat cancer. It is common practice to
use a combination of these modalities to maximize clinical outcomes, which are
often measured by a balance between maximizing tumor damage and minimizing
normal tissue side effects due to treatment. However, multi-modality treatment
policies are mostly empirical in current practice, and are therefore subject to
individual clinicians' experiences and intuition. We present a novel
formulation of optimal multi-modality cancer management using a finite-horizon
Markov decision process approach. Specifically, at each decision epoch, the
clinician chooses an optimal treatment modality based on the patient's observed
state, which we define as a combination of tumor progression and normal tissue
side effect. Treatment modalities are categorized as (1) Type 1, which has a
high risk and high reward, but is restricted in the frequency of administr 查看全文>>