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Miyazaki Yuta  宮崎 裕大

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MIYAZAKI YUTA  宮崎 裕大

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Researcher Number 70966192
Other IDs
Affiliation (Current) 2025: 国立研究開発法人国立精神・神経医療研究センター, 病院 身体リハビリテーション部, 医師
Affiliation (based on the past Project Information) *help 2022 – 2025: 国立研究開発法人国立精神・神経医療研究センター, 病院 身体リハビリテーション部, 医師
Review Section/Research Field
Principal Investigator
Basic Section 59010:Rehabilitation science-related / 0909:Sports sciences, physical education, health sciences, and related fields
Except Principal Investigator
Basic Section 59010:Rehabilitation science-related
Keywords
Principal Investigator
リハビリテーション / 筋電図 / 動作解析 / 歩行中枢 / CPG / 脊髄fMRI / 腰髄 / fMRI / machine learning / deep learning … More / 深層学習 / ADL / FIM / 脳卒中 / 予後予測 / 機械学習 … More
Except Principal Investigator
呼吸理学療法 / 呼吸リハビリテーション / 肺容量リクルートメント / 筋萎縮性側索硬化症 / 筋シナジー / 脳活動 / 外部刺激 / パーキンソン病 Less
  • Research Projects

    (4 results)
  • Research Products

    (5 results)
  • Co-Researchers

    (7 People)
  •  Does respiratory rehabilitation to inflate the lungs prolong survival in amyotrophic lateral sclerosis?

    • Principal Investigator
      河口 大洋
    • Project Period (FY)
      2025 – 2027
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 59010:Rehabilitation science-related
    • Research Institution
      National Center of Neurology and Psychiatry
  •  Elucidation of motor control methods by external stimuli in neuromuscular diseases - Focusing on brain activity and muscle synergy -

    • Principal Investigator
      西田 大輔
    • Project Period (FY)
      2024 – 2026
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 59010:Rehabilitation science-related
    • Research Institution
      Tokai University
  •  Does the Central Pattern Generator exist in the human spinal cord? A spinal cord fMRI studyPrincipal Investigator

    • Principal Investigator
      宮崎 裕大
    • Project Period (FY)
      2023 – 2025
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 59010:Rehabilitation science-related
    • Research Institution
      National Center of Neurology and Psychiatry
  •  Improvement of predictive accuracies of functional outcomes of stroke patients by machine learning modelsPrincipal Investigator

    • Principal Investigator
      MIYAZAKI YUTA
    • Project Period (FY)
      2022 – 2023
    • Research Category
      Grant-in-Aid for Research Activity Start-up
    • Review Section
      0909:Sports sciences, physical education, health sciences, and related fields
    • Research Institution
      National Center of Neurology and Psychiatry

All 2023

All Journal Article Presentation

  • [Journal Article] Comparing the contribution of each clinical indicator in predictive models trained on 980 subacute stroke patients: a retrospective study2023

    • Author(s)
      Miyazaki Yuta、Kawakami Michiyuki、Kondo Kunitsugu、Tsujikawa Masahiro、Honaga Kaoru、Suzuki Kanjiro、Tsuji Tetsuya
    • Journal Title

      Scientific Reports

      Volume: 13 Issue: 1

    • DOI

      10.1038/s41598-023-39475-x

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-22K21225
  • [Journal Article] Improvement of predictive accuracies of functional outcomes after subacute stroke inpatient rehabilitation by machine learning models2023

    • Author(s)
      Miyazaki Yuta、Kawakami Michiyuki、Kondo Kunitsugu、Tsujikawa Masahiro、Honaga Kaoru、Suzuki Kanjiro、Tsuji Tetsuya
    • Journal Title

      PLOS ONE

      Volume: 18 Issue: 5 Pages: e0286269-e0286269

    • DOI

      10.1371/journal.pone.0286269

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-22K21225
  • [Presentation] Improvement of accuracy in predicting subacute stroke functional outcome by machine learning with increased clinical indicators: Aretrospective study2023

    • Author(s)
      Y. MIYAZAKI, M. KAWAKAMI, K. KONDO, M. TSUJIKAWA, K. HONAGA, K. SUZUKI, T. TSUJI
    • Organizer
      Society for Neuroscience 2023
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K21225
  • [Presentation] 回復期脳卒中患者における大規模データを用いた予後予測因子の寄与率の検討2023

    • Author(s)
      宮崎裕大,川上途行,鈴木幹次郎,十見恭平,秋本知則,辻川将弘,伊藤真梨,近藤国嗣,辻哲也
    • Organizer
      第60回日本リハビリテーション医学会学術集会
    • Data Source
      KAKENHI-PROJECT-22K21225
  • [Presentation] 大規模データを用いた回復期脳卒中患者におけるトイレ関連動作自立に関する予後予測モデルの検討2023

    • Author(s)
      宮崎裕大,川上途行,鈴木幹次郎,十見恭平,秋本知則,辻川将弘,伊藤真梨,近藤国嗣,辻哲也
    • Organizer
      リハビリテーション医療DX研究会第1回学術集会
    • Data Source
      KAKENHI-PROJECT-22K21225
  • 1.  原 貴敏 (40619889)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 0 results
  • 2.  西田 大輔 (30784194)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 3.  舩戸 徹郎 (40512869)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 4.  辻本 憲吾 (30809364)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 5.  阿部 十也 (60588515)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 6.  河口 大洋 (71000783)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 7.  寄本 恵輔 (30754824)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results

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