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可解释机器学习用于预测急性二中毒患者的死亡风险

Huiyi Li1, Zheng Liu1, Wenming Sun2

  • 1Department of Emergency Medicine, The First Hospital of China Medical University, Shenyang, China.

Scientific reports
|July 12, 2024
PubMed
概括

机器学习模型准确地预测了急性二中毒患者的死亡风险. 沙普利添加剂解释 (SHAP) 提高了个性化风险评估的透明度.

关键词:
迪卡特中毒是什么原因机器学习是机器学习.死亡的风险死亡的风险.沙普利添加剂的解释

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