医疗评估准备信息工具集 (MERIT):开发数据驱动的决策支持工具,以增强复杂的临床决策
Huang Tang1, Drew Lipman1, Rachel Armstrong1
1The MITRE Corporation, McLean, VA 22102, USA.
Military medicine
|November 10, 2023
概括
医疗评估准备信息工具集 (MERIT) 使用人工智能预测军事服务人员.
科学领域:
- 军事医学 军事医学
- 医疗保健中的人工智能
- 临床决策支持 临床决策支持
背景情况:
- 军事准备是关键问题,政策要求向残疾评估系统 (DES) 提交可预测的康复路径或在诊断后的一年内.
- 排名前24位的疾病占DES转诊的90%以上,强调了有效识别和管理的必要性.
研究的目的:
- 开发和验证人工智能驱动的临床决策支持工具,即医疗评估准备信息工具集 (MERIT).
- 预测服务人员因最常见的导致分离的疾病而被转移到DES的可能性.
主要方法:
- 利用了超过300万陆军服役人员的19年的数据集.
- 开发了一个"疾病严重性指数" (DSI),使用玛窗口功能来优先考虑最近的医疗数据.
- 采用了DSI和人员记录的物流回归和随机森林模型,以预测24个关键疾病的DES转诊情况.
主要成果:
- 使用后勤回归实现了高性能分类模型,接收器操作特征曲线下的面积超过0.919在所有条件下.
- 证明了MERIT能够为服务人员生成准确的个人风险概况的能力.
结论:
- 使用ICD代码和人员数据,MERIT准确地预测了服务人员使用DES转介的可能性.
- 该工具集提供了一种可靠的方法来开发个别风险概况,帮助医疗准备管理.
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