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Neurobiological Divergence of the Positive and Negative Schizophrenia Subtypes Identified on a New Factor Structure of Psychopathology Using Non-negative Factorization: An International Machine Learning Study

机译:非负面分解的新因素结构鉴定了阳性和阴性精神分裂症亚型的神经生物学分歧:国际机器学习研究

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摘要

BACKGROUND: Disentangling psychopathological heterogeneity in schizophrenia is challenging, and previous results remain inconclusive. We employed advanced machine learning to identify a stable and generalizable factorization of the Positive and Negative Syndrome Scale and used it to identify psychopathological subtypes as well as their neurobiological differentiations.
机译:背景:在精神分裂症中解开心肌病理学的异质性是挑战性的,并且以前的结果仍然不确定。 我们采用先进的机器学习,鉴定阳性和阴性综合征尺度的稳定且概括的分解,并使用它来识别精神病理学亚型以及它们的神经生物学分化。

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