Efficient Prediction of Vitamin B Deficiencies via Machine-Learning Using Routine Blood Test Results in Patients With Intense Psychiatric Episode.

Journal: Frontiers in psychiatry
Published Date: Feb 20, 2020

Abstract

BACKGROUND: Vitamin B deficiency is common worldwide and may lead to psychiatric symptoms; however, vitamin B deficiency epidemiology in patients with intense psychiatric episode has rarely been examined. Moreover, vitamin deficiency testing is costly and time-consuming, which has hampered effectively ruling out vitamin deficiency-induced intense psychiatric symptoms. In this study, we aimed to clarify the epidemiology of these deficiencies and efficiently predict them using machine-learning models from patient characteristics and routine blood test results that can be obtained within one hour.

Authors

  • Hidetaka Tamune
    Department of Neuropsychiatry, Tokyo Metropolitan Tama Medical Center, Tokyo, Japan.
  • Jumpei Ukita
    Mental Health Research Course, Faculty of Medicine, The University of Tokyo, Tokyo, Japan.
  • Yu Hamamoto
    Department of Neuropsychiatry, Tokyo Metropolitan Tama Medical Center, Tokyo, Japan.
  • Hiroko Tanaka
    Department of Neuropsychiatry, Tokyo Metropolitan Tama Medical Center, Tokyo, Japan.
  • Kenji Narushima
    Department of Neuropsychiatry, Tokyo Metropolitan Tama Medical Center, Tokyo, Japan.
  • Naoki Yamamoto
    Department of Neuropsychiatry, Tokyo Metropolitan Tama Medical Center, Tokyo, Japan.

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