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Reproducible symptom subtypes of depression identified using unsupervised machine learning
2026-02-16
psychiatry and clinical psychology
Title + abstract only
View on medRxiv
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Depression is a heterogeneous disorder, often diagnosed based on symptom co-occurrence. However, individuals may present with markedly different symptom profiles, potentially reflecting distinct underlying mechanisms. Identifying common patterns of symptoms using data-driven approaches could help clarify the heterogeneity of depression. Furthermore, examining the sociodemographic and lifestyle characteristics, health status, and polygenic scores of individuals with specific symptom profiles may ...
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