战略癌症治疗规划:利用马尔科夫决策流程优化治疗和生活质量
Seema Singh1, Chandrahas Sahu1, Pushpendra Singh2
1Department of Electronics and Telecommunication Engineering, Shri Shankaracharya Technical Campus, Bhilai, India.
这项研究提出了一个新的数学框架,使用马尔科夫决策过程 (MDP) 来优化癌症治疗计划. 该方法平衡了治疗有效性与患者的生活质量,以获得更好的结果.
科学领域:
- 在瘤学瘤学.
- 数学建模的数学建模
- 决策科学 决策科学 决策科学
背景情况:
- 马尔科夫决策过程 (MDP) 和动态治疗方案对于管理癌症进展越来越重要.
- 目前的癌症治疗方法可能会对患者的生活质量产生负面影响,导致患者放弃治疗.
研究的目的:
- 引入一种基于MDP的新数学框架,以优化癌症管理中的多疗法治疗计划.
- 在治疗优化中整合患者实用性和医生效益功能.
- 为了考虑不同的临床形状,治疗选择和生存概率.
主要方法:
- MDP模型通过瘤进展和正常组织的副作用来定义系统状态.
- 治疗结果包括复发,瘤回归和健康组织安全性.
- 医生在每个阶段选择最佳的治疗策略,以根据患者的健康状况最大限度地获得最终的回报.
主要成果:
- 该框架为优化癌症治疗提供了一种整体方法.
- 它通过实践示例展示了拟议的基于MDP的方法的实用性和适用性.
- 该方法考虑了临床疗效和以患者为中心的生活质量.
结论:
- 这种新的框架提高了恶性瘤治疗的整体治疗结果.
- 它强调了在治疗期间保持患者的生活质量的至关重要.
- 基于MDP的方法为个性化和有效的癌症护理规划提供了一个结构化的方法.
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