Journal of affective disordersHumansBipolar DisorderMaleFemaleMachine Learning
Development of a machine learning-based prediction model for bipolar disorder relapse via integration of 1H-NMR metabolomics and clinical features.
Yan Ren, Tingting Zheng, Ruiyuan Liu, Yipeng Zhao, Zhiyong Zhang, Tianmei Si, Ruiping Zhang
Published: 202610.1016/j.jad.2025.120858
Abstract
BACKGROUND: Bipolar disorder (BD) is a chronic psychiatric illness characterized by recurrent episodes of depression and mania, with a global lifetime prevalence of 0.6-1 %. Patients experience high relapse rates despite treatment, while existing pre…
Preview only. Read the full abstract at the source