Prediction Model for Deficiency-Excess Patterns, Including Medium Pattern

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  • MAEDA-MINAMI Ayako
    Division of Pharmaceutical Care Sciences, Graduate School of Pharmacy, Keio University
  • YOSHINO Tetsuhiro
    Center for Kampo Medicine, Keio University School of Medicine
  • KATAYAMA Kotoe
    Laboratory of Sequence Analysis, Human Genome Center, the Institute of Medical Science, University of Tokyo
  • HORIBA Yuko
    Center for Kampo Medicine, Keio University School of Medicine
  • HIKIAMI Hiroaki
    Shikino Care Center
  • SHIMADA Yutaka
    Department of Japanese Oriental (Kampo) Medicine, School of Medicine, University of Toyama
  • NAMIKI Takao
    Department of Japanese Oriental (Kampo) Medicine, Graduate School of Medicine, Chiba University
  • TAHARA Eiichi
    Department of Japanese Oriental (Kampo) Medicine, Oriental Medical Center, Iizuka Hospital
  • MINAMIZAWA Kiyoshi
    Department of Oriental Medicine, Kameda Medical Center
  • MURAMATSU Shinichi
    Division of Oriental Medicine, Center of Community Medicine, Jichi Medical University
  • YAMAGUCHI Rui
    Division of System Analysis, Aichi Cancer Center Research Institute
  • IMOTO Seiya
    Division of Health medical Data Science, Health Intelligence Center, The Institute of Medical Science, The University of Tokyo
  • MIYANO Satoru
    Laboratory of DNA Information Analysis, Human Genome Center, the Institute of Medical Science, University of Tokyo
  • MIMA Hideki
    Center for Research and Development of Higher Education, University of Tokyo
  • MIMURA Masaru
    Center for Kampo Medicine, Keio University School of Medicine
  • NAKAMURA Tomonori
    Division of Pharmaceutical Care Sciences, Graduate School of Pharmacy, Keio University
  • WATANABE Kenji
    Center for Kampo Medicine, Keio University School of Medicine

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Other Title
  • 虚実中間証を含む虚実証の予測モデル
  • キョジツ チュウカンショウ オ フクム キョジツショウ ノ ヨソク モデル

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Description

<p>We have previously reported on a predictive model for deficiency-excess pattern diagnosis that was unable to predict the medium pattern. In this study, we aimed to develop predictive models for deficiency, medium,and excess pattern diagnosis, and to confirm whether cutoff values for diagnosis differed between the clinics. We collected data from patients' first visit to one of six Kampo clinics in Japan from January 2012 to February 2015. Exclusion criteria included unwillingness to participate in the study, missing data, duplicate data, under 20 years old, 20 or less subjective symptoms, and irrelevant patterns. In total, 1,068 participants were included. Participants were surveyed using a 153-item questionnaire. We constructed a predictive model for deficiency, medium, and excess pattern diagnosis using a random forest algorithm from training data, and extracted the most important items. We calculated predictive values for each participant by applying their data to the predictive model, and created receiver operating characteristic (ROC) curves with excess-medium and medium-deficiency patterns. Furthermore, we calculated the cutoff value for these patterns in each clinic using ROC curves, and compared them. Body mass index and blood pressure were the most important items. In all clinics, the cutoff values for diagnosis of excess-medium and medium-deficiency patterns was > 0.5 and < 0.5, respectively. We created a predictive model for deficiency, medium, and excess pattern diagnosis from the data of six Kampo clinics in Japan. The cutoff values for these patterns fell within a narrow range in the six clinics.</p>

Journal

  • Kampo Medicine

    Kampo Medicine 71 (4), 315-325, 2020

    The Japan Society for Oriental Medicine

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