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Updated: Jun 12, 2025

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开发和验证一种机器学习模型,用于医院内预测心力衰竭的5岁以下儿童的死亡率

Huasheng Lv1, Fengyu Sun2, Teng Yuan1

  • 1Department of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.

Frontiers in pediatrics
|June 10, 2025
PubMed
概括

一个新的机器学习模型准确地预测了心力衰竭 (HF) 的幼儿在医院死亡率. 这种工具有助于早期风险分层,以获得更好的儿科HF结果.

关键词:
在医院的死亡率.可以解释的解释性.机器学习是机器学习.儿科心力衰竭儿童心力衰竭风险预测风险预测

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Heart failure can be classified in various ways, with the most common classifications based on physical activity limitations, disease progression, severity, and treatment strategies.The Functional Classification of Heart Failure divides patients into four categories based on physical activity limitation due to symptom burden.Class I: Patients in this class have cardiac disease but no physical activity limitations. Ordinary activities like walking, climbing stairs, or routine tasks do not cause...
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