相关实验视频
Updated: Jun 21, 2025

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
在基于ML的临床风险预测模型中评估性别偏见:一项针对不同医院多重使用案例的研究
Patricia Cabanillas Silva1, Hong Sun2, Pablo Rodriguez-Brazzarola1
1Dedalus Healthcare, Antwerp, Belgium.
在临床风险预测模型中存在性别偏见,女性的低诊断率更高. 然而,模型性能变化不会影响性别的整体临床效用,强调持续监测.
科学领域:
- 医疗保健分析 医疗保健分析
- 临床信息学 临床信息学
- 生物统计学 生物统计学
背景情况:
- 临床试验中女性的历史代表性不足导致了偏见的医疗保健数据.
- 临床决策支持工具的公平性受到偏见数据的损害.
- 需要对风险预测模型中的性别偏见进行定量评估.
研究的目的:
- 在临床风险预测模型中量化评估性别偏见.
- 在多个用例和医院中概括发现.
- 调查发现的性别差异的临床影响.
主要方法:
- 对基于性别的差异的源数据的分析.
- 跨性别,医院和用例的模型性能评估 (AUROC).
- 低诊断/过度诊断率的评估和决策曲线分析 (DCA).
主要成果:
- 发生率,AUROC和过度诊断率在性别,医院和用例方面有显著差异.
- 在女性人口中观察到持续较高的低诊断率.
- 根据DCA,性别之间的临床效用没有统计学上显著的差异.
结论:
- 风险预测模型中的性别偏见取决于上下文 (用例,机构).
- 数据层面的性别差异并不一定转化为临床实用性的差异.
- 持续监测风险预测模型中的基于性别的差异至关重要.
更多相关视频
07:31Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
04:09Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
Published on: October 10, 2018
相关概念视频
Bias in Epidemiological Studies
Bias
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Methods of Documentation VI: Case Management Model
For example, a patient with a chronic...
Hazard Ratio
For example, in a clinical trial...
Regression Toward the Mean