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Selected Publications (English)

Journal Publications

2022.
Shusaku Tsumoto, Tomohiro Kimura, Shoji Hirano: Order Trajectory Analysis for Monitoring Clinical Process. Rev. Socionetwork Strateg. 16(1): 53-70, 2022

Shusaku Tsumoto, Shoji Hirano, Tomohiro Kimura, Haruko Iwata:@Mining Clinical Process from Hospital Information System: A Granular Computing Approach. Fundam. Informaticae 182(2): 181-218, 2022.

2021
Shusaku Tsumoto, Shoji Hirano, Tomohiro Kimura, Haruko Iwata:
Mining Clinical Process from Hospital Information System: A Granular Computing Approach. Fundam. Informaticae 182(2): 181-218 (2021)
Shusaku Tsumoto, Tomohiro Kimura, Shoji Hirano:
Mining Clinical Pathways Using Dual Clustering. Rev. Socionetwork Strateg. 15(2): 287-307 (2021)

Shusaku Tsumoto, Tomohirno Kimura, Shoji Hirano:
Determination of Disease from Discharge Summaries. Rev. Socionetwork Strateg. 15(1): 49-66 (2021)

2019
Izuhara M, Izuhara HK, Tsuchie K, Araki T, Ito T, Sato K, Miura S, Otsuki K, Nagahama M, Hayashida M, Hashioka S, Wake R, Kimura T, Tsumoto S, Saito Y, Inagaki M.. Real-World Preventive Effects of Suvorexant in Intensive Care Delirium: A Retrospective Cohort Study. J Clin Psychiatry 81.

Izuhara M, Izuhara HK, Tsuchie K, Araki T, Ito T, Sato K, Miura S, Otsuki K, Nagahama M, Hayashida M, Hashioka S, Wake R, Kimura T, Tsumoto S, Saito Y, Inagaki M. Studies Support the Use of Suvorexant for the Prevention of Delirium
J Clin Psychiatry 82.

Okuda M, Yasuda A, Tsumoto S. An approach to exploring associations between hospital structural measures and patient satisfaction by distance-based analysis. BMC Health Serv Res. 63.

2018
Tsubata Y, Shiratsuki Y, Okuno T, Tanino A, Nakao M, Amano, Y, Hotta T, Hamaguchi M, Okimoto T, Hamaguchi S, Kurimoto N, Nishiyama Y, Kimura T, Iwata H, Tsumoto S, Isobe. Prospective clinical trial evaluating vulnerability and chemotherapy risk using geriatric assessment tools in older patients with lung cancer. Geriatr Gerontol Int, 19, 2018


2017
Shusaku Tsumoto, Shoji Hirano: Incremental Rules Induction based on Rule Layers and its Application to Clinical Datasets
Neuroscience and Biomedical Engineering 5, p.59-66, 2017

2016
Mei-Hui Wang, Kanta Kurozumi, Mikiko Kawaguchi, Chang-Shing Lee, Hiroshi Tsuji, Shusaku Tsumoto: Healthy diet assessment mechanism based on fuzzy markup language for Japanese food. Soft Comput. 20(1): 359-376 (2016)
Shusaku Tsumoto, Shoji Hirano and Yuko Tsumoto: Quantitative Estimation of Software Quality in Hospital Information System, Neuroscience and Biomedical Engineering 4(1): 57 - 66
Shusaku Tsumoto, Shoji Hirano: Multidimensional temporal mining
in hospital information system. IJCIStudies 5: p.317-337, 2016.


2015
Yuko Tsumoto, Haruko Iwata, Shoji Hirano and Shusaku Tsumoto: Construction of Clinical Pathway Using Dual Clustering.Neuroscience and Biomedical Engineering 3(1): 49-56, 2015.

Haruko Iwata, Shoji Hirano, Shusaku Tsumoto: Maintenance and Discovery of Domain Knowledge for Nursing Care using Data in Hospital Information System. Fundam. Inform. 137(2): 237-252 (2015)

2014
Shusaku Tsumoto, Haruko Iwata, Shoji Hirano, Yuko Tsumoto: Similarity-based behavior and process mining of medical practices. Future Generation Comp. Syst. 33: 21-31 (2014)
Toshihiko Kawamura, Tomohiro Kimura, Shusaku Tsumoto: Estimation of Service Quality of a Hospital Information System Using a Service Log. The Review of Socionetwork Strategies 8(2): 53-68 (2014)

2013
Shusaku Tsumoto, Shoji Hirano: Incremental Induction of Medical Diagnostic Rules Based on Incremental Sampling Scheme and SubRule Layers. Fundam. Inform. 127(1-4): 209-223 (2013)
Yingxu Wang, Gabriele Fariello, Marina L. Gavrilova, Witold Kinsner, Fumio Mizoguchi, Shushma Patel, Dilip Patel, Fernando L. Pelayo, Victor Raskin, Duane F. Shell, Shusaku Tsumoto: Perspectives on Cognitive Computers and Knowledge Processors. IJCINI 7(3): 1-24 (2013)
Shusaku Tsumoto, Shoji Hirano: Combinatorics of Information Granule in Contingency Table. Int. J. Intell. Syst. 28(9): 892-906 (2013)
Shusaku Tsumoto, Shoji Hirano:Combinatorics in Pearson residuals. IJKESDP 4(1): 72-84 (2013)
Shoji Hirano, Shusaku Tsumoto: Clustering of non-metric proximity data based on bi-links with e-indiscernibility. J. Intell. Inf. Syst. 41(1): 61-71 (2013)
Eisuke Hanada, Takato Kudou, Shusaku Tsumoto: Installation of Secure, Always Available Wireless LAN Systems as a Component of the Hospital Communication Infrastructure. J. Medical Systems 37(3): 9939 (2013)

2012
Yingxu Wang, James A. Anderson, George Baciu, Gerhard Budin, D. Frank Hsu, Mitsuru Ishizuka, Witold Kinsner, Fumio Mizoguchi, Toyoaki Nishida, Kenji Sugawara, Shusaku Tsumoto: Perspectives on eBrain and Cognitive Computing. Du Zhang IJCINI 6 : 1-21, 2012
Hidenao Abe and Shusaku Tsumoto: Detection of research trends from bibliographical data. IJDMMM 4: 255-266, 2012

2011
Y. Tsumoto, S. Tsumoto: Correlation and Regression Analysis for Characterizations of a University Hospital. Rev Socionetwork Stra. 5: 43-55, 2011
S. Tsumoto, S. Hirano: Detection of risk factors using trajectory mining J. Intell. Inf. Syst. 36: 403-425, 2011
S. Tsumoto, S. Hirano: Residual as Linear Sum of Matrix Determinants ?in Multiway Contingency Tables International Journal of Computational Intelligence Systems. 4: 1080-1089, 2011
H. Abe, S. Tsumoto: Evaluating a Temporal Pattern Detection Method for Finding Research Keys in Bibliographical Data T. Rough Sets. 14: 1-17, 2011

2010
Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:@Improving a rule evaluation support method based on objective indices.@International Journal of Advanced Intelligence Paradigms (IJAIP), Vol. 2, No. 2/3, pp.180-197, 2010
T.Y. Lin, Rushin Barot and Shusaku Tsumoto: Some Remarks on the Concept of Approximations from the View of Knowledge Engineering. International Journal of Software Science and Computational Intelligence 4(2).
S. Tsumoto and S. Hirano: Risk Mining in Medicine: Application of Data Mining to Medical Risk Management. Fundam. Inform. 98(1): 107-121, 2010.

2009
Shusaku Tsumoto, Shoji Hirano: Statistical Independence and Determinants in a Contingency Table - Interpretation of Pearson Residuals based on Linear Algebra -. Fundam. Inform. 90(3): 251-267 (2009)

Shusaku Tsumoto, Shoji Hirano: Contingency Matrix Theory II: Degree of Dependence as Granularity. Fundam. Inform. 90(4): 427-442 (2009)

2008
Shusaku Tsumoto and Yuko Tsumoto: Data Mining-based Hospital Management. Journal of Chongqing University of Post and Telecommunications 20(3):
p. 309-323, 2008.

2007
Miho Ohsaki, Hidenao Abe, Shusaku Tsumoto, Hideto Yokoi, Takahira Yamaguchi: Evaluation of rule interestingness measures in medical knowledge discovery in databases. Artificial Intelligence in Medicine 41(3): 177-196 (2007)

Shusaku Tsumoto, Shoji Hirano: Visualization of Differences between Rules' Syntactic and Semantic Similarities using Multidimensional Scaling. Fundam. Inform. 78(4): 561-573 (2007)

2005
S. Tsumoto and S. Hirano: Automated Discovery of Chronological Patterns in Long Time-series Medical Datasets. International Journal of Intelligent Systems 20: 737-757, 2005

2004
Tsumoto S: Mining diagnostic rules from clinical databases using rough sets and medical diagnostic model, Information Sciences, 162: 63-137, 2004.

2003
Tsumoto S: Chance Discovery in Medicine - Detection of Rare Risky Events in Chronic Diseases -. New Generation Computing 21: 135-147, 2003.

2002
Tsumoto S, Hirano S, Yasuda A, Tsumoto K: Analysis of amino acid sequences by statistical technique, Information Sciences 145: 205-214, 2002

2000
Tsumoto S: Automated discovery of positive and negative knowledge in clinical databases based on rough set model. IEEE Engineering in Medicine and Biology Magazine 19: 56-62, 2000

1998
Shusaku Tsumoto: Automated Extraction of Medical Expert System Rules from Clinical Databases on Rough Set Theory. Journal of Information Sciences 112: 67-84, 1998.

Tsumoto, S. Extraction of Experts' Decision Rules from Clinical Databases using Rough Set Model. Journal of Intelligent Data Analysis, 2(3), 215-227, 1998.

1996
Tsumoto,S. and Tanaka,H. Machine Discovery of Functional Components of Proteins from Amino-acid sequences based on Rough Sets and Change of Representation.
Journal of Intelligent Automation and Soft Computing 2, pp. 169-180, 1996.

Tsumoto, S. and Tanaka, H. A Common Framework of Empirical Learning Methods based on Rough Sets and Matroid Theory. Fundamentae Informaticae, pp. 273-288, 1996.

1995
Tsumoto, S., Tanaka, H., Amano, H., Ohyama, K., and Kuroda, T. COBRA: Integration of Knowledge-Bases with Case-Databases in the Domain of Congenital Malformation.
International Journal of Cooperative Information Systems 4, 387-403, 1995.

Tsumoto, S. and Tanaka, H. PRIMEROSE: Probabilistic Rule Induction Method based on
Rough Sets and Resampling Methods. Computational Intelligence 11, 389-405, 1995.

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