首页> 外文期刊>Journal of the American College of Surgeons >An Injury Severity-, Time Sensitivity-, and Predictability-Based Advanced Automatic Crash Notification Algorithm Improves Motor Vehicle Crash Occupant Triage
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An Injury Severity-, Time Sensitivity-, and Predictability-Based Advanced Automatic Crash Notification Algorithm Improves Motor Vehicle Crash Occupant Triage

机译:基于伤害严重性,时间敏感性和可预测性的高级自动碰撞通知算法改进了机动车碰撞乘员分类

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摘要

BACKGROUND: Advanced Automatic Crash Notification algorithms use vehicle telemetry measurements to predict risk of serious motor vehicle crash injury. The objective of the study was to develop an Advanced Automatic Crash Notification algorithm to reduce response time, increase triage efficiency, and improve patient outcomes by minimizing undertriage (<5%) and overtriage (<50%), as recommended by the American College of Surgeons.
机译:背景技术:先进的自动碰撞通知算法使用车辆遥测技术来预测严重的汽车碰撞伤害风险。这项研究的目的是开发一种先进的自动故障通知算法,以减少响应时间,提高分类诊断效率,并通过减少分类不足(<5%)和分类过多(<50%)的患者改善患者的预后,外科医生。

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