基于机器学习的早期预警评分系统的开发和验证,用于高空多细胞血症
Yangzong Suona1,2, Zhuoga Danzeng1,2, Luobu Gesang1,2,3,4
1High Altitude Medical Research Institute of Tibet Autonomous Region, Lhasa, China.
Frontiers in public health
|February 6, 2026
概括
一个新的评分系统有助于识别使用生活方式因素的高海拔多细胞血症 (HAPC) 高风险的个体. 该工具帮助资源有限的高海拔地区的卫生保健工作者实施早期干预.
科学领域:
- 高度医学 高度医学
- 心血管健康 心血管健康
- 医疗保健中的机器学习
背景情况:
- 高海拔多细胞血症 (HAPC) 对终身高海拔居民构成健康风险.
- 在这个人群中,对于HAPC存在需要以生活方式为重点的风险分层工具.
- 目前的风险评估方法可能无法充分解决与高海拔居民相关的可修改的生活方式因素.
研究的目的:
- 开发和验证HAPC.的新型机器学习预测评分系统.
- 利用易于修改的生活方式变量来预测高海拔地区人口的风险.
- 创建一个用于早期识别和干预HAPC的工具.
主要方法:
- 研究了一组1089个居住在高海拔地区 (≥4500米) 的个人.
- 分析了82个候选变量,并使用LASSO将其减少到七个关键的生活方式预测因素.
- 后勤回归,XGBoost和随机森林模型被训练并通过10倍交叉验证进行比较.
主要成果:
- 逻辑回归证明了最佳性能,AUC为0.848,灵敏度为0.81,特异性为0.79.
- HAPC的独立预测因素包括低SPO2 (<83%),男性性别,年龄≥50岁,吸烟,高血压,较高的BMI和较低的茶饮.
- 这些因素共同为HAPC风险的预测模型做出贡献.
结论:
- 开发的评分系统为偏远,高海拔地区的前线卫生工作者提供了权力.
- 它可以快速识别HAPC.高风险个体.
- 启动低成本的生活方式干预措施可以制与高度相关的慢性疾病并改善生活质量.
相关概念视频
Reliability and Validity
14.1K
Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
14.1K
In Vitro Drug Release Testing: Overview, Development and Validation
357
In vitro dissolution and drug release tests assess how quickly and how much of a drug is released from its dosage form into an aqueous medium under standardized laboratory conditions. These tests are essential tools in pharmaceutical development and quality assurance, offering insight into the drug's performance before clinical use.During formulation development, dissolution testing identifies incomplete or inconsistent drug release issues. It also supports decisions on selecting the optimal...
357
Introduction to z Scores
11.2K
A z score (or standardized value) is measured in units of the standard deviation. It tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a zero z score. It is important to note that the mean of the z scores is zero, and the standard deviation is one.
z scores...
z scores...
11.2K
Introduction to z Scores
1.4K
A z score (or standardized value) is measured in units of the standard deviation. It indicates how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a zero z score. It is important to note that the mean of the z scores is zero, and the standard deviation is one.
z scores...
z scores...
1.4K
z Scores and Area Under the Curve
19.6K
z scores are the standardized values obtained after converting a normal distribution into a standard normal distribution. A z score is measured in units of the standard deviation. The z score tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a z score of...
19.6K
Machines
579
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
A free-body diagram of the...
579


