基于遗憾理论的临床疗效评估方法,采用三向决策.
Jin Ye1, Bingzhen Sun2, Jianming Zhan3
1School of Economics and Management, Xidian University, Xi'an, Shaanxi, 710071, China; School of Mathematics-Physics and Finance, Anhui Polytechnic University, Wuhu, Anhui, 241000, China.
Artificial intelligence in medicine
|December 12, 2025
概括
这项研究引入了一种新的三向决策 (TWD) 方法,用于使用时间数据评估治疗疗效. 可解释模型通过分析患者状况随时间变化而提高精准医学的准确性.
科学领域:
- 医疗信息学 医疗信息学
- 决策科学 决策科学 决策科学
- 计算医学是一种计算医学.
背景情况:
- 临床疗效评估对于医疗保健质量和患者的治疗结果至关重要.
- 目前的方法缺乏解释性和准确性,阻碍了精准医学.
- 患者对治疗的反应是一个动态的,时间的,三向分类问题.
研究的目的:
- 提出一种可解释且准确的临床疗效评估方法,使用三向决策 (TWD) 理论.
- 解决现有方法在决策解释性和准确性方面的局限性.
- 为时间,不完整和混合决策系统开发数据驱动的TWD模型.
主要方法:
- 引入了一个多颗粒度不平衡的时间不完整的混合决策系统 (MGUTIHDS).
- 将MGUTIHDS转换为标准化系统 (NMGUTDS),使用不完整数据的参考序列.
- 根据治疗方案对NMGUTDS进行了细分,并根据损失函数和条件概率开发了基于数据的TWD模型.
- 设计了一种基于遗憾理论的三向疗效评估方法,并采用算法实现.
主要成果:
- 提出的基于遗憾理论的TWD方法表现出卓越的性能.
- 该模型在评估治疗方案的临床疗效方面取得了很高的准确性.
- 对类风湿性关节炎数据的应用显示了该方法在治疗方案建议中的有效性.
结论:
- 开发的TWD方法为临床疗效评估提供了一种可解释和准确的方法.
- 该方法有效地处理医疗保健决策中的时间,不完整和混合数据.
- 这项工作通过为治疗方案分析和推提供了强大的框架,推动了精准医学的发展.
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