A hybrid SMOTE and Gaussian mixture model based optimized XGBoost framework for bipolar disorder detection

Abstract The identification of bipolar disorder (BD), a severe psychiatric condition characterized by recurrent mood fluctuations, remains challenging due to substantial inter-individual variability, symptom overlap with other mental disorders, and imbalanced clinical data. Delayed or inaccurate dia...

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Principais autores:	Santosh Kumar, Deeksha Kumari, Arvind Panwar, Shrddha Sagar, Lukas Herout, Hamidreza Namazi, Nitesh Singh Bhati
Format:	Artigo
Jezik:	Inglês
Izdano:	Nature Portfolio 2026-03-01
Serija:	Scientific Reports
Teme:	Bipolar disorder Gaussian mixture model (GMM) SMOTE XGBoost Mental health diagnostics
Online dostop:	https://doi.org/10.1038/s41598-026-39104-3
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