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  • New article about improved metabolomic data-based prediction of depressive symptoms using nonlinear machine learning with feature selection was published
  • 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

     

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