Gradient boosting decision-tree-based algorithm with neuroimaging for personalized treatment in depression

Author:

Ali Farzana Z.ORCID,Wengler KennethORCID,He XiangORCID,Nguyen Minh Hoai,Parsey Ramin V.,DeLorenzo ChristineORCID

Publisher

Elsevier BV

Reference35 articles.

1. A machine learning approach using EEG data to predict response to SSRI treatment for major depressive disorder;Khodayari-Rostamabad;Clin. Neurophysiol.,2013

2. Spatial and temporal resolutions of EEG: is it really black and white? A scalp current density view;Burle;Int. J. Psychophysiol.,2015

3. PET/MRI: a frontier in era of complementary hybrid imaging;Musafargani;Eur. J. Hybrid Imag.,2018

4. Neuroimaging biomarkers for predicting treatment response and recurrence of major depressive disorder;Kang;Int. J. Mol. Sci.,2020

5. Toward a neuroimaging treatment selection biomarker for major depressive disorder;McGrath;JAMA Psychiatr.,2013

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