论文标题
使用马尔可夫决策过程找到最佳癌症治疗，以改善整体健康和生活质量
Finding Optimal Cancer Treatment using Markov Decision Process to Improve Overall Health and Quality of Life
论文作者
论文摘要
马尔可夫决策过程和动态治疗方案在包括癌症在内的疾病治疗中越来越流行。但是，癌症治疗通常会严重影响生活质量，人们常常无法接受可持续，负担得起且可以遵守的治疗方法。在本文中，我们强调了环境因素的用法，例如专业，放射性暴露，治疗选择的食物习惯，请记住，目的不仅是为了减轻患者的疾病，而且是为了最大程度地提高他的整体身体，社交和精神健康。我们描绘了一个通用框架，该框架可以直接从医生和患者的效用中纳入净福利功能，并可以结合不同医疗概况患者的暴露和存活的不同概率。我们还通过模拟表明，最佳动作的最佳选择通常对无关紧要的因素敏感，例如人的财务状况（作为治疗可负担性的代理），应欢迎这些行动牢记整体生活质量。
Markov Decision Processes and Dynamic Treatment Regimes have grown increasingly popular in the treatment of diseases, including cancer. However, cancer treatment often impacts quality of life drastically, and people often fail to take treatments that are sustainable, affordable and can be adhered to. In this paper, we emphasize the usage of ambient factors like profession, radioactive exposure, food habits on the treatment choice, keeping in mind that the aim is not just to relieve the patient of his disease, but rather to maximize his overall physical, social and mental well being. We delineate a general framework which can directly incorporate a net benefit function from a physician as well as patient's utility, and can incorporate the varying probabilities of exposure and survival of patients of varying medical profiles. We also show by simulations that the optimal choice of actions often is sensitive to extraneous factors, like the financial status of a person (as a proxy for the affordability of treatment), and that these actions should be welcome keeping in mind the overall quality of life.
