癌症相关认知障碍风险预测模型的进展
Ran Duan1,2, ZiLi Wen3, Ting Zhang1,2
1School of Clinical Medicine, Chengdu Medical College, Chengdu, 610500, Xindu, China.
Clinical and experimental medicine
|March 6, 2025
概括
与癌症相关的认知障碍 (CRCI) 对幸存者产生重大影响. 新的模型,特别是机器学习,显示出预测CRCI风险和指导早期干预以改善生活质量的前景.
科学领域:
- 在瘤学瘤学.
- 神经科学是一个神经科学.
- 医疗信息学 医疗信息学
背景情况:
- 与癌症相关的认知障碍 (CRCI) 是癌症幸存者的普遍的长期并发症.
- 慢性慢性创伤会对幸存者的生活质量,日常功能,工作能力和心理健康产生负面影响.
研究的目的:
- 对CRCI风险预测模型的最新进展进行审查和总结.
- 评估各种预测方法的性能和局限性,包括统计和机器学习技术.
主要方法:
- 对CRCI风险预测模型的文献进行系统审查.
- 分析传统的统计方法 (例如,逻辑回归) 和先进的机器学习技术.
- 评估已识别的风险因素 (年龄,癌症类型,治疗方式) 和模型性能指标.
主要成果:
- 与传统方法相比,机器学习模型通常表现出CRCI的优异预测性能.
- 关键的风险因素包括年龄,癌症类型和特定的治疗方式.
- 对于先进的模型,数据可用性和模型解释性等局限性仍然存在.
结论:
- CRCI风险预测模型对于癌症幸存者的早期干预和个性化护理至关重要.
- 需要进一步的研究来提高模型可靠性,在不同人群中普遍化,以及临床适用性.
- 解决数据和可解释性方面的挑战将提高CRCI管理的有效性.
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