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Updated: Jun 29, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

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开发和验证一个早期预测模型的心脏死亡风险的轻链粉样性病患者:一个多中心研究研究

Naidong Pang1, Ying Tian2,3, Hongjie Chi1

  • 1Department of Cardiology, Heart Center, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.

Cardio-oncology (London, England)
|May 15, 2025
PubMed
概括

一个新的预测模型有助于识别心脏死亡高风险的AL氨基粉症患者. 这种工具有助于早期风险评估,以改善心脏粉样症患者的治疗结果.

关键词:
心脏病死亡的心脏病死亡轻链氨基粉症是什么机器学习是机器学习.这个名字叫做Nomogram.预测模型的预测模型.突然的心脏病死亡.

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