Phenotype fingerprinting of bipolar disorder prodrome

Phenotype fingerprinting of bipolar disorder prodrome

Abstract Background Detecting prodromal symptoms of bipolar disorder (BD) has garnered significant attention in recent research, as early intervention could potentially improve therapeutic efficacy and improve patient outcomes. The heterogeneous nature of the prodromal phase in BD, however, poses co...

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Bibliographic Details
Main Authors: Yijun Shao, Yan Cheng, Srikanth Gottipati, Qing Zeng-Treitler
Format: Article
Language:English
Published: SpringerOpen 2023-05-01
Series:International Journal of Bipolar Disorders
Subjects:
Bipolar disorder
Phenotype
Unsupervised machine learning
Online Access:https://doi.org/10.1186/s40345-023-00298-4

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