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Updated: Sep 12, 2025

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide
09:52

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide

Published on: January 15, 2017

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评估急诊室患者的重访风险:机器学习方法

Wang-Chuan Juang1,2,3, Zheng-Xun Cai4, Chia-Mei Chen4

  • 1Quality Management Center, Kaohsiung Veterans General Hospital, No.386, Dazhong 1st Rd., Zuoying Dist., Kaohsiung, 813414, Taiwan, 886 7-342-2121 ext 4191.

JMIR AI
|August 7, 2025
PubMed
概括

机器学习可以预测患者可能在72小时内返回急诊室 (ED). 该框架使用结构化和非结构化数据来识别高风险患者,提高安全性和降低成本.

关键词:
临床决策支持系统.深度学习是一种深度学习.电子健康记录是电子健康记录.机器学习是机器学习.不定时的回访 不定时的回访

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Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma04:09

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The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
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