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Updated: Jul 17, 2025

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide
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Published on: January 15, 2017

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基于联合学习的临床支持系统用于韩国分拣和敏度尺度的分拣

Hansol Chang1,2, Jae Yong Yu3, Geun Hyeong Lee2,4

  • 1Department of Emergency Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 115 Irwon-ro Gangnam-gu, Seoul, 06355, South Korea.

Heliyon
|September 1, 2023
PubMed
概括

这项研究开发了一种联合学习系统,用于预测韩国分辨率敏度度量 (KTAS) 修订. 该系统通过识别可能需要修订敏度得分的患者来支持临床分组.

关键词:
临床决策的过程应急部门的紧急情况.紧急医疗服务服务.机器学习 机器学习测量三级是什么意思

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