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Stratifying Eating Disorders with Clustering: From Diagnosis to Phenotypic Diversity

2025-08-27

Abstract excerpt

Psychiatric disorders, including eating disorders (EDs), are characterized by heterogeneity that limits diagnostic accuracy and treatment personalization. Precision psychiatry calls for tools to identify data-driven phenotypes beyond traditional categories. In a large cohort (N=809), we applied an unsupervised clustering pipeline to self-report and clinical variables to uncover ED subgroups. Repeated Spectral Clus...

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Literature Corpus work
49f45a4d-da45-5eac-92dd-300455dbcb2c
DOI
10.1101/2025.08.25.25334344
Open publication

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Stratifying Eating Disorders with Clustering: From Diagnosis to Phenotypic DiversityDOI 10.1101/2025.08.25.25334344
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