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Selected Publications (English)

Journal Publications

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

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.

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)

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)

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)

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

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

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.

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)

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

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)

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

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

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

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

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

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.

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.

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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