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J-GLOBAL ID:200901047746370592   Update date: Sep. 25, 2024

Tsumoto Shusaku

Tsumoto Shusaku | Tsumoto Shusaku
Affiliation and department:
Homepage URL  (1): http://www.med.shimane-u.ac.jp/med_info/tsumoto/index.htm
Research field  (2): Medical systems ,  Intelligent informatics
Research keywords  (8): 医療情報学 ,  粒度計算論 ,  ラフ集合 ,  データマイニング ,  Granular Computing ,  Artificial Intelligence ,  Rough Sets ,  Data Mining
Research theme for competitive and other funds  (37):
  • 2020 - 2025 信頼性・安全性トラブル未然防止へのモバイルIoTモニタリングシステムの開発と展開
  • 2015 - 2020 New development of prevention system focusing on risk modes and advanced online monitoring technology
  • 2018 - 2020 病院情報システムの知能化のためのアクティブマイニングプロセスに関する研究
  • 2013 - 2017 Development of the assessment tool for fall prevention from BPSDz8Behavioral and Psychological Symptoms of Dementia) and Frail for elderly people with dementia
  • 2015 - 2017 診療クリニカルパス自動生成のためのアクティブマイニングプロセスに関する研究
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Papers (40):
  • Muneto Izuhara, Hisae Kihara Izuhara, Keiko Tsuchie, Tomoko Araki, Tsukasa Ito, Kouhei Sato, Syoko Miura, Koji Otsuki, Michiharu Nagahama, Maiko Hayashida, et al. Studies Support the Use of Suvorexant for the Prevention of Delirium. The Journal of clinical psychiatry. 2021. 82. 3
  • Muneto Izuhara, Hisae Kihara Izuhara, Keiko Tsuchie, Tomoko Araki, Tsukasa Ito, Kouhei Sato, Shoko Miura, Koji Otsuki, Michiharu Nagahama, Maiko Hayashida, et al. Real-World Preventive Effects of Suvorexant in Intensive Care Delirium: A Retrospective Cohort Study. The Journal of clinical psychiatry. 2020. 81. 6
  • Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi. Evaluating a learning algorithm selection method for a rule evaluation support tool based on objective indices. MCCSIS 2007 - IADIS Multi Conference on Computer Science and Information Systems - Proceedings of Wireless Applications and Computing 2007, Telecommunications, Networks and Systems 2007 and Data Mining 2007. 2020. 25-32
  • Shusaku Tsumoto, Shoji Hirano. Granular Rules for Medical Diagnosis. Advances in Intelligent Systems and Computing. 2019. 1000. 681-691
  • Shoji Hirano, Shusaku Tsumoto. Towards knowledge discovery from heterogeneous time-series medical databases. 2017 6th International Conference on Informatics, Electronics and Vision and 2017 7th International Symposium in Computational Medical and Health Technology, ICIEV-ISCMHT 2017. 2018. 2018-. 1
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MISC (188):
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Books (115):
  • Fabio Massimo Zanzotto, Shusaku Tsumoto, Niels Taatgen, Yiyu Yao
    Springer Verlag 2012
  • Intelligent Information Processing
    Springer 2010
  • Social, Behavioral and Predictive Computing
    Springer 2010
  • Transactions on Rough Sets XII
    Springer 2010
  • 神経医工学
    オーム社 2009
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Lectures and oral presentations  (182):
  • Empirical Comparison of Similarities for Agglomerative Hierarchical Clustering
    (IEEE SMC 2018 2018)
  • Clinical Pathway Generation Based on Hierarchical Clustering and EM Clustering
    (IEEE SMC 2018 2018)
  • オーダー履歴による待ち時間分析
    (第6回医用人工知能研究会 2018)
  • Construction of Clinical Pathway Generation from Nursing Records and Discharge Summaries
    (IEEE ICDM 2018 2018)
  • From Hospital Big Data to Clinical Process: A Granular Computing Approach
    (IEEE Big Data 2018 2018)
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Professional career (1):
  • Ph.D. (Dr of Engineering) (Tokyo Institute of Technology)
Committee career (18):
  • 2017 - 現在 International Society of Complexi Medical Engineering 理事
  • 2015 - 現在 IEEE SMC TC on Granular Computing Chair
  • 2014 - 現在 IEEE Big Data Steering Committee 委員
  • 2018 - 2020 人工知能学会 副会長
  • 2014 - 2018 ICHI Sttering Committee 運営委員
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Awards (3):
  • 2016 - ISME2016 Runner-up Award
  • 2016 - ITQM 2016 Best Paper Award
  • 2012 - ヘルスケアITトラック優秀論文賞
Association Membership(s) (16):
AAAI ,  SPIE ,  AMIA ,  IEEE ,  ACM ,  International Granular Computing Society ,  複合医工学会 ,  日本知能情報ファジィ学会 ,  IEEE Big Data Steering Committee ,  複合医工学会 (ICME) ,  医療情報学会 ,  ICHI Sttering Committee ,  ICME ,  IEEE SMC TC on Granular Computing ,  International Society of Complexi Medical Engineering ,  人工知能学会
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