癌症患者营养不良的预测模型的研究进展
Pengcheng Zheng1,2,3, Bo Wang1,2,3, Yan Luo1
1Clinical Medical College, Chengdu Medical College, Chengdu, China.
Frontiers in nutrition
|September 5, 2024
概括
癌症患者经常经历营养不良,影响治疗耐受性和治疗结果. 本综述探讨了用于预测营养不良风险的先进模型,帮助临床决策和未来模型开发.
科学领域:
- 在瘤学瘤学.
- 营养科学 营养科学
- 医疗信息学 医疗信息学
背景情况:
- 与疾病相关的营养不良影响40-80%的癌症患者,导致长时间住院和降低生活质量等不良结果.
- 营养不良会降低对癌症治疗 (手术,化疗,放射治疗) 的耐受性,导致治疗延迟和并发症.
- 目前存在的客观评估模型,但人工智能的进步提供了提高准确性的潜力.
研究的目的:
- 为预测癌症患者营养不良风险的最新模型提供全面的概述.
- 为医疗保健专业人员提供临床决策指导.
- 作为开发更有效的未来风险预测模型的参考.
主要方法:
- 对癌症患者最近开发的营养不良风险预测模型的文献综述.
- 专注于包含先进技术的模型,包括人工智能.
- 分析模型准确性和临床适用性.
主要成果:
- 识别和分类各种最近开发的营养不良风险预测模型.
- 传统方法与新的人工智能驱动方法的比较.
- 强调先进模型在准确性和效率方面的潜在优势.
结论:
- 准确的营养不良风险预测对于优化癌症患者护理和治疗结果至关重要.
- 新兴的基于人工智能的模型显示出对提高传统方法的预测准确性的承诺.
- 需要进一步的研究和验证,才能将这些先进的模型纳入常规的临床实践.
更多相关视频
相关概念视频
Cancer Survival Analysis
334
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
334
Mouse Models of Cancer Study
5.5K
Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...
5.5K


