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Updated: Jun 30, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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基于机器学习的生存分析方法用于预测中风后肺炎排放风险

Chang-Ching Lee1, Sheng-You Su2, Sheng-Feng Sung3

  • 1Division of Pulmonary Medicine, Department of Internal Medicine, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chiayi City, Taiwan.

International journal of medical informatics
|March 22, 2024
PubMed
概括

机器学习准确地预测医院出院后的中风后肺炎风险. 一个随机生存森林模型超过了现有系统,识别了关键预测因素,如格拉斯哥昏迷表得分和年龄.

关键词:
机器学习 机器学习肺炎是一种肺炎.预测 预测 预测风险评分系统 风险评分系统一次性中风,中风.对生存分析的分析.

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