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Updated: Jan 14, 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

Published on: May 15, 2020

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预测患者的复发风险在第一集双相情感障碍:机器学习模型的开发,外部验证和药物治疗协会的复发风险预测

Johannes Lieslehto1,2,3, Jari Tiihonen4,5,6, Markku Lähteenvuo4

  • 1University of Eastern Finland, Department of Forensic Psychiatry, Niuvanniemi Hospital, Kuopio, Finland. johannes.lieslehto@ki.se.

Molecular psychiatry
|October 23, 2025
PubMed
概括

一个新的机器学习模型使用可访问的因素预测了第一期双相情感障碍 (FEBD) 中的复发风险. 高风险的FEBD患者从早期的长效注射抗精神病药物治疗中获益最多,以减少再入院.

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