World's Best Scientists 2026 revealed!
Shusaku Tsumoto

Shusaku Tsumoto

D-Index & Metrics

Computer Science

D-Index
31
Citations
4872
World Ranking
13546
National Ranking
225

Overview

Shusaku Tsumoto is affiliated with Shimane University in Japan and has contributed extensively to the field of computer science, with a focus on areas intersecting with healthcare and medicine. Their research predominantly explores artificial intelligence, signal processing, computational theory and mathematics, information systems, and general health professions.

The main topics in Tsumoto's work include:

  • Rough Sets and Fuzzy Logic
  • Data Management and Algorithms
  • Data Mining Algorithms and Applications
  • Time Series Analysis and Forecasting
  • Biomedical Text Mining and Ontologies
  • Intensive Care Unit Cognitive Disorders
  • Advanced Clustering Algorithms Research

Tsumoto's recent publications demonstrate an interdisciplinary approach, combining clinical process mining and hospital data with computing methodologies. Notable papers include:

  • "Real-World Preventive Effects of Suvorexant in Intensive Care Delirium," 2020, The Journal of Clinical Psychiatry
  • "An approach to exploring associations between hospital structural measures and patient satisfaction by distance-based analysis," 2021, BMC Health Services Research
  • "Mining Clinical Process from Hospital Information System: A Granular Computing Approach," 2021, Fundamenta Informaticae
  • "Mining Clinical Pathways Using Dual Clustering," 2021, The Review of Socionetwork Strategies
  • "Determination of Disease from Discharge Summaries," 2021, The Review of Socionetwork Strategies

The scientist has collaborated frequently with peers such as Shoji Hirano, Tomohiro Kimura, Muneto Izuhara, Hisae Kihara Izuhara, and Keiko Tsuchie.

Publication venues where Tsumoto's research commonly appears include:

  • The Review of Socionetwork Strategies
  • 2022 IEEE International Conference on Big Data (Big Data)
  • The Journal of Clinical Psychiatry
  • 2021 IEEE International Conference on Big Data (Big Data)
  • BMC Health Services Research

In addition to journal articles and conference proceedings, Tsumoto authored a book titled Recommender Systems for Medicine and Music, published by Springer Nature in 2021.

Best Publications

  • Foundations of Intelligent Systems

    Zbigniew W. Ras;Andrzej Skowron;Qiuming Zhu;Z. Chen

  • Automated extraction of medical expert system rules from clinical databases based on rough set theory

    Shusaku Tsumoto

  • Rough Set Methods and Applications

    Lech Polkowski;Shusaku Tsumoto;Tsau Y. Lin

  • Rough set methods and applications: new developments in knowledge discovery in information systems

    Lech Polkowski;Shusaku Tsumoto;Tsau Young Lin

  • Mining diagnostic rules from clinical databases using rough sets and medical diagnostic model

    Shusaku Tsumoto

  • Knowledge discovery in clinical databases and evaluation of discovered knowledge in outpatient clinic

    Shusaku Tsumoto

  • Rough Set Theory and Granular Computing

    Masahiro Inuiguchi;Shusaku Tsumoto;Shoji Hirano

  • Extraction of Experts' Decision Rules from Clinical Databases Using Rough Set Model

    Shusaku Tsumoto

  • PRIMEROSE: PROBABILISTIC RULE INDUCTION METHOD BASED ON ROUGH SETS AND RESAMPLING METHODS

    Shusaku Tsumoto;Hiroshi Tanaka

  • Automated discovery of medical expert system rules from clinical databases based on rough sets

    Shusaku Tsumoto;Hiroshi Tanaka

  • Modelling Medical Diagnostic Rules Based on Rough Sets

    Shusaku Tsumoto

  • Automated extraction of hierarchical decision rules from clinical databases using rough set model

    Shusaku Tsumoto

  • Comparison of clustering methods for clinical databases

    Shoji Hirano;Xiaoguang Sun;Shusaku Tsumoto

  • A "Ubiquitous Environment" through Wireless Voice/Data Communication and a Fully Computerized Hospital Information System in a University Hospital

    Eisuke Hanada;Shusaku Tsumoto;Shotai Kobayashi

  • Automated discovery of positive and negative knowledge in clinical databases

    S. Tsumoto

  • Evaluation of rule interestingness measures in medical knowledge discovery in databases

    Miho Ohsaki;Hidenao Abe;Shusaku Tsumoto;Hideto Yokoi

  • Risk Mining in Medicine: Application of Data Mining to Medical Risk Management

    Shusaku Tsumoto;Yuko Tsumoto;Kimiko Matsuoka;Shigeki Yokoyama

  • Rough representation of a region of interest in medical images

    Shoji Hirano;Shusaku Tsumoto

  • Accuracy and Coverage in Rough Set Rule Induction

    Shusaku Tsumoto

  • An Indiscernibility-Based Clustering Method with Iterative Refinement of Equivalence Relations -Rough Clustering-

    Shoji Hirano;Shusaku Tsumoto

  • Subgraph Support in a Single Large Graph

    Unknown

  • Similarity-based behavior and process mining of medical practices

    Shusaku Tsumoto;Haruko Iwata;Shoji Hirano;Yuko Tsumoto

  • Mining similar temporal patterns in long time-series data and its application to medicine

    S. Hirano;S. Tsumoto

  • Modeling Decisions for Artificial Intelligence : 13th International Conference, MDAI 2016Sant Juliàde Lòria, Andorra, September 19–21, 2016: Proceedings

    Vicenç Torra;Yasuo Narukawa;Guillermo Navarro-Arribas;Cristina Yañez

Frequent Co-Authors

Tsau Young Lin
Tsau Young Lin San Jose State University
Lech Polkowski
Lech Polkowski Polish-Japanese Academy of Information Technology
Hiroshi Motoda
Hiroshi Motoda Osaka University
Yingxu Wang
Yingxu Wang University of Calgary
Yiyu Yao
Yiyu Yao University of Regina
Yuefeng Li
Yuefeng Li Queensland University of Technology
Niels Taatgen
Niels Taatgen University of Groningen
Masahiro Inuiguchi
Masahiro Inuiguchi Osaka University
Kouhei Tsumoto
Kouhei Tsumoto University of Tokyo
James F. Peters
James F. Peters University of Manitoba

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online degree options in Computer Science and related fields provides flexibility for students with diverse academic backgrounds. If you’re concerned about your undergraduate performance, it's worth researching will grad schools accept low gpa. Many institutions offer supportive pathways for those who may not meet traditional GPA requirements.

Fast-track options are increasingly popular, particularly for students aiming to enter the workforce quickly. If you want to jumpstart your tech career, consider an accelerated computer science degree that can be completed online while maintaining flexibility.

Computer Science skills are highly transferable to interdisciplinary careers. For example, those interested in sustainability could explore environmental science degree opportunities, opening doors to jobs in research, consulting, and policy.

For those seeking engineering-focused roles, there are also options for environmental engineering degrees online, making it easier to expand technical expertise and pursue impactful careers.

Best Scientists Citing Shusaku Tsumoto

Trending Scientists

Recently Published Articles