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Curriculum Vitae

Name: Shusaku Tsumoto

Position: Professor, Department of Medical Informatics,
Shimane University School of Medicine

Place of Birth: Osaka, Japan

Date of Birth: April 25, 1963

Nationality: Japanese

Office Address: 89-1 Enya-cho, Izumo 693-8501 Japan

Education: University: Osaka University, Medical School
Major subjects: Neurology, Medical Informatics

Medical Doctor(M.D.): Osaka University, Medical School,1989.
Ph.D. : Tokyo Institute of Technology, 1997.

Positions Held Since Graduation:

1989-1990 (Sep): Neurologist, Chiba University Hospital
1990-1991 (Sep): Neurologist, Acute Medical Care Unit, Matsudo Municipal Hospital
1991-1993 (Apr): Research Fellow, Department of Medical Informatics,Chiba University Hospital
1993-1999 (Apr): Assistant Professor,Department of Informational Medicine,
Medical Research Institute,Tokyo Medical & Dental University
1999(May)- 2000(June): Associate Professor, Department of Medical Informatics,Shimane Medical University, School of Medicine

2000(July)-Present: Full Professor, Department of Medical Informatics, Shimane Medical University, School of Medicine
2003(Oct)-Present: Full Professor, Department of Medical Informatics, Shimane University School of Medicine

Present Major Subjects:
Decision Science (Rough Sets)
Knowledge Discovery in Databases and Data Mining
Object-Oriented Databases
Computational Disease Modelling
Medical Terminology

Awards:

1993: The 13th Japanese Joint Conference on
Medical Informatics: The Best Paper
1995: The 15th Japanese Joint Conference on
Medical Informatics: The Best Paper

Program Committee:

1994: 1. The First International Conference on Computational Medicine,
Austin, Texas, 1994.4.24-26.
2. The Third International Conference on Rough Sets and Soft Computing,
San Jose, CA, 1994.11.10-11.13.

1995: 1. The SCS Workshop in ACM
Nashville, 1995.2.21.
2. The Joint Conference on Information Sciences (JCIS95)
Wilimington, NC, 1995.9.28-10.2.

1996: 1. Asian Fuzzy Systems Symposium 96,
Taiwan, 1996.12.10-14.
2. Joint Conference on Japanese Medical Informatics Association.
Chiba, 1996. 11.21-23.

1997:
1. First European Workshop on Principles of Knowledge Discovey
in Databases and Data Mining (PKDD97), Trondheim, 1997.
2. Fifth International Workshop on Rough Sets and Soft Computing,
(RSSC97), Durham, 1997.

1998:
1. Second European Workshop on Principles of Knowledge Discovey
in Databases and Data Mining (PKDD98), Nantes, 1998.
2. First International Conference on Rough Sets and Current
Computing (RSCTC98), Warsaw, 1998.

1999: 1. Third European Workshop on Principles of Knowledge Discovey in Databases and Data Mining (PKDD99), Prague, 1999. 2. Third Pacific-Asian Conference on Knowledge Discovey in Databases and Data Mining (PAKDD99), Bejing, 1999. 3. International Medical Informatics Association (IMIA) WG6 (Terminology and Concept Representaiton), Pheonix, 1999.
2000:
1. Fourth European Workshop on Principles of Knowledge Discovey in Databases and Data Mining (PKDD00), Lyon, 2000. 2. Fourth Pacific-Asian Conference on Knowledge Discovey in Databases and Data Mining (PAKDD00), Kyoto, 2000. 3. International Symposium on Methods of Intelligent Systems
(ISMIS2000), Charlotte, 2000.
2001:
1. Fifth European Workshop on Principles of Knowledge Discovey in Databases and Data Mining (PKDD01), Freiburg, 2001. 2. International Workshop on Rough Sets and Granular Computing (RSGTC2001)
PC chair, Matsue, 2001.
3. Third International Coference on Data Warehouse and Knowledge Discovery
(DaWaK2001), Munich, 2001.
4. The First Asia-Pacific Conference on Web Intelligence(WI-2001), Maebashi, 2001.
5. The 2001 IEEE International Conference on Data Mining (ICDM'01),
Silicon Valley, 2001.

Organization:

1996: The Fourth International Workshop on Rough Sets, Fuzzy Sets and
Machine Discovery(RSFD96), 1996.11.6-8. (Local Chair)

1999: The Sixth International Workshop on Rough Sets, Fuzzy Sets and Data Mining
Granular Computing (RSFDGrC99) 1999.11.9-11 (Advisory Board)
2000: The Fourth Pacific-Asian Conference on Knowledge Discovery and Data Mining (PAKDD2000), 1999.4.16-20 (Tutorial Chair)
The Second International Conference on Rough Sets and Current Trends
in Computing(RSCTC2000), 2000.10.15-18 (Program Chair)
2001: International Workshop on Rough Sets and Granular Computing (RSGTC2001)
(Program Chair)

Social Actitivies

1997-2000: Secretary of International Rough Set Society
1998- : Secretary of Research Group on Knowledge-Based Systems (SIGKBS), Japanese Society of Artificial Intelligence 1999- : ISO TC215 (Healthcare) WG3 (Terminology and Concept Representation), Technical Expert
2000- : Chair of International Rough Set Society

Publications (English):

Journal

1. Tsumoto,S. and Tanaka,H.
Induction of Medical Expert System Rules based on
Rough Sets and Resampling Methods
Proceedings of the Eighteenth Annual Symposium on
Computer Applications in Medical Care,
Journal of the AMIA 1, supplement,
pp.1066-1070, 1994.

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

3. Tsumoto,S. and Tanaka,H.
Extraction of Expert System Rules based on
Rough Sets and Resampling Methods.
MEDINFO'95, 1: 861-865, IMIA, Geneva, 1995.

4. Tsumoto, S., Ziarko, W., Shan, N., Tanaka, H.
Knowledge Discovery in Clinical Databases
based on Variable Precision Rough Set Model
Proceedings of the Eighteenth Annual Symposium on
Computer Applications in Medical Care,
Journal of the AMIA 2, supplement,
pp.270-274, 1995.

5. 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.

6. 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.

7. 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.

8. Tsumoto, S. and Tanaka, H.
Incremental Learning of Probabilistic Rules
from Clinical Databases based on Rough Set Theory.
Journal of AMIA 4 (Supplement), 198-202, 1997.

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

10. Tsumoto, S.
Automated Induction of Medical Expert
System Rules from Clinical Databases based on Rough Set Theory
Journal of Information Sciences 112, 67-84, 1998.

11. Tsumoto, S.
Automated Knowledge Acquisition from Clinical Databases
and its Evaluation
MEDINFO98, 649-653, 1998 (IOS Press).

12. Tsumoto, S.
Automated Knowledge Acquisition based on Rough Sets and
Attribute-Oriented Generalization
JAMIA 5 (Supplement), 548-552, 1998.

13. Tsumoto, S.
Automated Discovery of Positive and Negative Knowledge
in Clinical Databases based on Rough Set Model.
IEEE EMB Magaizine 19(4): 56-62, 2000.

14. Tsumoto, S.
Knowledge Discovery in Clinical Databases
and Evaluation of Discovered Knowledge in Outpatient Clinic.
Journal of Information Sciences 124: 125-137, 2000.

15. Hirano, S. and Tsumoto, S.
Rough Clustering and its Application to Medicine.
MEDINFO01 (in press).

Books (English)

1. Tsumoto, S. and Tanaka, H. PRIMEROSE3: Induction and Estimation of Probabilistic Rules from Medical Databases Based on Rough Sets and Resampling Methods. Matthew Witten (ed.) Computational Medicine, Public Health, And Biotechnology, World Scientific, Singapore, pp.1173-1189, 1996.

2. Tsumoto, S., Kobayashi, S., Nakamura, A., Tanaka, H. (eds.) Proceedings of the Fourth International Workshop on Rough Sets, Fuzzy Sets and Machine Discovery (RSFD96), Tokyo University Press, 1996. 3. Tsumoto, S. and Tanaka, H. Algebraic Formulation of Machine Learning Methods Based on Rough Sets, Matroid Theory and Combinatorial Geometry. T.Y. Lin and Nick Cercone (eds.) Rough Sets and Data Mining (Chapter 20), Kluwer Academic Publishers, Boston, pp.385-410, 1997.

4. Tsumoto, S. Formalization and Induction of Medical Expert System Rules based on Rough Set Theory. Polkowski, L. and Skowron, A. (eds.) Rough Sets in Knowledge Discovery, Physica Verlag, Heidelberg, (Chapter 16) pp.307-323, 1998.

5. Tsumoto, S. A Decison Support System based on Congenital Malformation Image Database. Wong,S. (ed.) Biomedical Image Databases,
Kluwer Academic Publishers, Boston, pp.335-352, 1998.

6. Tsumoto, S. Induction of Expert Decision Rules using Rough Sets and Set-Inclusion. Pal, S.K. and Skowron, A. (eds.) Rough-Fuzzy Hybridization: A New Trend in Decision Making, Springer Verlag,
New York, 316-329, 2000.
7. Tsumoto, S. Discovery of Clinical Knowledge in Databases extracted from Hospital Information Systems, Cios, K. (eds.) Medical Knowledge Discovery, 2000.

8. Polkowski, L., Tsumoto, S. and Lin, T.Y. (eds). Rough set methods and applications : new developments in knowledge discovery in information systems, Physica-Verlag, New York, 2000.

9. Kloesgen, W. and Zytkow, J. (eds.) Handbook of Data Mining and Knowledge Discovery, 2001 (in press) Chapter on Medical Data Mining.

Proceedings

1. Yasushi Matsumura, Takashi Matsunaga, Yusuke Maeda, Shusaku Tsumoto, Hiroshi Matsumura, Michio Kimura: Consultation System for Diagnosis of Headache and Facial Pain: "RHINOS". Logic Programming Conference-1995 (LP-95), Springer-Verlag, Heidelberg, pp. 287-298, 1985.

2. Shusaku Tsumoto, Hiroshi Tanaka: Induction of Probabilistic Rules Based on Rough Set Theory. Algorithmic Learning Theory(ALT-93), Springer Verlag, Heldelberg, pp. 410-423, 1993.

3. Shusaku Tsumoto, Hiroshi Tanaka: Selection of Probabilistic Measure Estimation Method Based on Recursive Iteration of Resampling Methods. KDD Workshop 94, AAAI Press, pp.121-132, 1994.

4. Shusaku Tsumoto, Hiroshi Tanaka: Algebraic Specification of Empirical Inductive Learning Methods based on Rough Sets and Matroid Theory. Artificial Intelligence and Symbolic Manipulation Conference (AISMC94), Springer Verlag, Berlin, pp. 224-243, 1994.

5. Shusaku Tsumoto, Hiroshi Tanaka: Algebraic Formulation of Empirical Learning Methods Based on Rough Sets and Matroid Theory. World Conference on Fundamentals of Artificial Intelligence (WOCFAI95), pp. 393-404, 1995.

6. Shusaku Tsumoto, Hiroshi Tanaka: Automated Selection of Rule Induction Methods Based on Recursive Iteration of Resampling Methods and Multiple Statistical Testing. KDD95, AAAI Press, pp.312-317, 1995.

7. Shusaku Tsumoto, Hiroshi Tanaka: Automated Discovery of Functional Components of Proteins from Amino-Acid Sequences Based on Rough Sets and Change of Representation. KDD95, AAAI Press, pp.318-324, 1995.

8. Shusaku Tsumoto, Hiroshi Tanaka: Induction of Expert System Rules from Databases Based on Rough Set Theory and Resampling Methods. ISMIS, Springer Verlag, Heidelberg, pp. 128-138, 1996. 9. Shusaku Tsumoto, Wojciech Ziarko: The Application of Rough Sets-Based Data Mining Technique to Differential Diagnosis of Meningoenchepahlitis. ISMIS96, Springer Verlag, Heidelberg, pp. 438-447, 1996.

10. Shusaku Tsumoto, Hiroshi Tanaka: Automated Discovery of Medical Expert System Rules from Clinical Databases Based on Rough Sets. KDD96, AAAI Press, pp.63-69, 1996.

11. Shusaku Tsumoto: Induction of Positive and Negative Deterministic Rules based on Rough Set Model. ISMIS97, Springer Verlag, Heidelberg, pp.298-307, 1997.

12. Shusaku Tsumoto: Extraction of Experts' Decision Process from Clinical Databases Using Rough Set Model. PKDD97, Springer Verlag, pp.58-67, 1997.

13. Shusaku Tsumoto: Discovery of Approximate Medical Knowledge Based on Rough Set Model. PKDD98, Springer Verlag, pp.468-476, 1998.

14. Shusaku Tsumoto: Modelling Medical Diagnostic Rules Based on Rough Sets. Rough Sets and Current Trends in Computing (RSCTC98) pp. 475-482, 1998.

15. Shusaku Tsumoto: Knowledge Discovery in Clinical Databases: An Experiment with Rule Induction and Statistics. ISMIS99, Springer Verlag, pp. 349-357, 1998.

16. Shusaku Tsumoto: Automated Discovery of Plausible Rules Based on Rough Sets and Rough Inclusion. PAKDD99, Springer Verlag, pp. 210-219, 1999.

17. Shusaku Tsumoto: Rule Discovery in Databases with Missing Values Based on Rough Set Model. PAKDD99, Springer Verlag, pp.274-278, 1999.

18. Shusaku Tsumoto: Knowledge Discovery in Medical Multi-databases: A Rough Set Approach. PKDD99, Springer Verlag, pp. 147-155, 1999.

19. Shusaku Tsumoto: Rule Discovery in Large Time-Series Medical Databases. PKDD99, Springer Verlag, pp. 23-31, 1999.

20. Shinsuke Sugaya, Einoshin Suzuki, Shusaku Tsumoto: Support Vector Machines for Knowledge Discovery. PKDD99, pp.561-567, 1999.
21. Shusaku Tsumoto, T. Y. Lin: Context-Free Fuzzy Sets in Data Mining Context. RSFDGrC99, Springer Verlag, pp. 212-220, 1999.

22. Shusaku Tsumoto: Discovery of Rules about Compilations - A Rough Set Approach in Medical Knowledge Discovery. RSFDGrC99, Springer Verlag, pp. 29-37, 1999.

23. Shusaku Tsumoto: Discovery of Clinical Knowledge in Hospital Information Systems: Two Case Studies. ISMIS2000, Springer Verlag, pp.573-581, 2000.

24. Einoshin Suzuki, Shusaku Tsumoto: Evaluating Hypothesis-Driven Exception-Rule Discovery with Medical Data Sets. PAKDD2000, Springer Verlag, pp.208-211, 2000.

25. Andrzej Skowron, Jaroslaw Stepaniuk, Shusaku Tsumoto: Information Granules for Spatial Reasoning. PAKDD2000, Springer Verlag, pp.380-383, 2000.

26. Shusaku Tsumoto: Clinical Knowledge Discovery in Hospital Information Systems: Two Case Studies. PKDD2000, Springer Verlag, pp.652-656, 2000.

27. Shoji Hirano, Tomohiro Okuzaki, Yutaka Hata, Shusaku Tsumoto, Kouhei Tsumoto: A Rough Set-Based Clustering Method with Modification of Equivalence Relations. PAKDD 2001, Springer Verlag, pp.507-512, 2001.

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Last Update: 2 June 2001