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基于P300的支持向量机器模型,用于识别患有第一发,未使用过药物的大型抑郁症的青少年

Shuxian Wu1, Tingyu Yang2, Ziwei Teng3

  • 1Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China.

Journal of affective disorders
|January 13, 2026
PubMed
概括

患有严重抑郁症 (MDD) 的青少年显示P300幅度降低,这是一个潜在的客观生物标志物. 使用这些P300特征的机器学习模型在将MDD患者与健康对照患者区分时实现了90.63%的准确性.

关键词:
青少年 青少年 青少年机器学习是机器学习.大型抑郁症主要是抑郁症.在P300300中,P300是最重要的.

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