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Updated: Feb 14, 2026

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多模式机器学习模型用于预测使用临床数据,血液生物标志物和DNA甲基化来预测主要抑郁症的缓解

Soonho Ha1, Hee-Ju Kang2, Taeyeong Lee1

  • 1Department of Biomedical Informatics, College of Medicine, Korea University, Seoul, 02841, Republic of Korea.

Journal of affective disorders
|February 12, 2026
PubMed
概括

预测主要抑郁症缓解是具有挑战性的. 炎症和表观遗传标记,以及临床数据,可以预测长期治疗的成功,指导精确精神病学.

关键词:
抗抑郁药物缓解缓解的时间通过DNA甲基化.炎症生物标志物 炎症生物标志物机器学习 机器学习大型抑郁症主要是抑郁症.多式联络是多式联络.

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