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预测患有急性损伤的儿科患者的结果:使用机器学习模型进行回顾性单中心队列研究

Feifei Shen1, Ying Xu2, Xusheng Jiang3

  • 1Department of Pediatrics, Affiliated Hospital of Nantong University, Nantong, China.

BMC medical informatics and decision making
|October 11, 2025
PubMed
概括

机器学习模型准确地预测了急性损伤 (AKI) 严重疾病儿童的死亡率. 乳酸盐水平升高是关键预测因素,指导早期干预以获得更好的结果.

关键词:
急性损伤是什么?急性损伤是什么?在 CatBoost 中使用 CatBoost.乳酸盐是一种乳酸盐.机器学习是机器学习.儿科重症监护病房儿童重症监护病房这就是 SHAP SHAP 的意思.对生存分析的分析.

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