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Updated: May 22, 2025

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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基于深度学习的多基因分数增强了精神疾病的概括性预测

Leonardo Cobuccio1,2,3, Arnor I Sigurdsson1, Kajsa-Lotta Georgii Hellberg2

  • 1Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark.

medRxiv : the preprint server for health sciences
|May 19, 2025
PubMed
概括

深度学习 (DL) 模型显示,与线性模型相比,对预测诸如ADHD,ASD和MDD等精神疾病的概括性有所改善. 然而,线性模型对于遗传风险预测仍然有效,特别是当将多基因得分 (PGS) 和家族遗传风险得分 (FGRS) 结合起来时.

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