通过整合H-NMR代谢和临床特征,开发一种基于机器学习的双极性障碍复发的预测模型

Yan Ren1, Tingting Zheng2, Ruiyuan Liu3

  • 1Department of Psychiatry, The Fifth Hospital of Shanxi Medical University, Taiyuan, 030001, China; The Fifth Clinical Medical College of Shanxi Medical University, Taiyuan, 030001, China; Department of Psychiatry, Shanxi Provincial People's Hospital, Taiyuan, 030000, China.

PubMed
概括

通过将临床数据与代谢学相结合,可以更好地预测双相情感障碍 (BD) 复发. 这种方法识别了关键的代谢物和临床因素,为个性化干预提供了对疾病机制的新见解.