Ensemble Learning for Early-Response Prediction of Antidepressant Treatment in Major Depressive Disorder.

Journal: Journal of magnetic resonance imaging : JMRI
Published Date: Dec 20, 2019

Abstract

BACKGROUND: In order to reduce unsuccessful treatment trials for depression, neuroimaging and genetic information can be considered as biomarkers. Together with machine-learning methods, prediction models have proved to be valuable for baseline prediction.

Authors

  • Cong Pei
    School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, China.
  • Yurong Sun
    School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, China.
  • Jinlong Zhu
    School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, China.
  • Xinyi Wang
    School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, China.
  • Yujie Zhang
    Beijing University of Chinese Medicine, Beijing, 100029, China. zhyj227@126.com.
  • Shuqiang Zhang
    School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, China.
  • Zhijian Yao
    Department of Psychiatry, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
  • Qing Lu
    University of Florida, Gainesville, FL, USA.

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