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Updated: May 15, 2025

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预测慢性阻塞性肺病患者急性病风险和不良结果:可解释的机器学习方法

Siqi Jiang1, Lingyu Xu1, Xinyuan Wang1

  • 1Department of Nephrology, The Affiliated Hospital of Qingdao University, Qingdao, China.

Renal failure
|April 8, 2025
PubMed
概括

机器学习模型预测急性损伤 (AKI),急性病 (AKD) 和慢性阻塞性肺病 (COPD) 患者的死亡率. 功能轨迹是预测死亡率的关键,有助于临床决策和改善患者的治疗结果.

关键词:
急性脏病是一种急性脏病.急性脏损伤急性脏损伤慢性阻塞性肺病 慢性阻塞性肺病机器学习是机器学习.死亡率 死亡率预测模型是一个预测模型.

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