New article about improved metabolomic data-based prediction of depressive symptoms using nonlinear machine learning with feature selection was published
Research: 2020/07/14
New article about improved metabolomic data-based prediction of depressive symptoms using nonlinear machine learning with feature selection was published on the journal of Translational Psychiatry.
Please take a look at the article for more details.
Article information
Title: Improved metabolomic data-based prediction of depressive symptoms using nonlinear machine learning with feature selection
Published journal: Translational Psychiatry
Authors: Yuta Takahashi, Masao Ueki, Makoto Yamada, Gen Tamiya, Ikuko N. Motoike, Daisuke Saigusa, Miyuki Sakurai, Fuji Nagami, Soichi Ogishima, Seizo Koshiba, Kengo Kinoshita, Masayuki Yamamoto, Hiroaki Tomita
Publish date: 19 May 2020
doi: 10.1038/s41398-020-0831-9