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Updated: Jul 4, 2025

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

Published on: October 10, 2018

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机器学习模型用于预测紧急部门的非计划回访:范围审查

Yi-Chih Lee1, Chip-Jin Ng1, Chun-Chuan Hsu1

  • 1Department of Emergency Medicine, Chang Gung Memorial Hospital and Chang Gung University, College of Medicine, Taoyuan City, 333, Taiwan.

BMC emergency medicine
|January 29, 2024
PubMed
概括

机器学习模型显示,预测非计划的返回访问紧急部门 (EDs) 的可能性很大. 虽然 eXtreme Gradient Boosting 的表现最好,但在ED重复访问中,提高超过0.75的准确性仍然是一个挑战.

关键词:
应急部门的紧急情况.机器学习 机器学习重新参加参加活动不定时的回访 不定时的回访

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