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Updated: Mar 7, 2026

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开发和内部验证基于机器学习的肺高血压在COPD的预测模型

Ruoyu Wang1, Jie Tan2, Guangping Li2

  • 1Department of Respiratory and Critical Care Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.

Frontiers in medicine
|March 6, 2026
PubMed
概括

一个新的CatBoost模型使用非侵入性数据准确预测慢性阻塞性肺病 (COPD) 患者的肺高血压 (PH). 该工具有助于在COPD管理中早期检测PH和风险分层.

关键词:
在 CatBoost 算法中,使用的是 CatBoost 算法.这就是 SHAP SHAP 的意思.慢性阻塞性肺病 慢性阻塞性肺病临床预测模型的临床预测模型.功能选择 功能选择机器学习是机器学习.肺高血压是一种肺高血压.

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