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Updated: Jan 31, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

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

Published on: May 15, 2020

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在老年住院患者中检测与抗血栓相关的出血:使用结构化和非结构化电子健康记录数据的多中心回顾性研究.

Claire Coumau1,2,3, Frederic Gaspar1,2,3, Mehdi Zayene4

  • 1Center for Research and Innovation in Clinical Pharmaceutical Sciences, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 19, Lausanne, Switzerland, 1 021 314 42 63.

Journal of medical Internet research
|January 29, 2026
PubMed
概括

结合结构化数据和NLP的自动化算法有效地检测抗血栓药物治疗的老年患者的出血事件. 这种方法改善了对重大出血 (MB) 和临床相关非重大出血 (CRNMB) 的药物安全监测和临床风险管理.

关键词:
药物不良事件是药物不良事件.药物不良反应 药物不良反应这是一种抗血栓的抗血栓药物.人工智能的人工智能是人工智能.电子医疗记录 电子医疗记录发生出血 发生出血机器学习是机器学习.多中心研究多中心研究.自然语言处理自然语言处理.年长的住院患者.药物监督和药物监督结构化数据挖掘是什么

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