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履歴書


氏名 つ もと   しゅう さく
   津 本  周 作

生年月日 昭和38年4 月25日
本籍 和歌山県
電話番号 0853-23-2111 (2171)

学歴
昭和57年3月 大阪府立天王寺高等学校卒業
昭和 58年4月 大阪大学医学部医学科入学
平成元年 3月 大阪大学医学部医学科卒業

研究歴
平成2年10月 千葉大学医学部研究生(神経内科学講座)
平成3年 9月 千葉大学医学部研究生(神経内科学講座)修了

職歴
平成元年 6月 千葉大学医学部附属病院医員(神経内科研修医)
平成 2年 4月 千葉大学医学部附属病院医員(第三内科研修医)
平成 2年 7月 千葉大学医学部附属病院医員(呼吸器内科研修医)
平成 3年10月 松戸市立病院救急部医員
平成 4年10月 千葉大学医学部附属病院医員(医療情報部)
平成 5年 5月 東京医科歯科大学助手(難治疾患研究所医薬情報)
平成11年5月 島根医科大学助教授(医学部医学科医療情報学講座)
平成12年7月 島根医科大学教授(医学部医学科医療情報学講座)
平成15年10月 島根大学教授(医学部医学科医療情報学講座)
現在に至る

学位
博士(工学) (東京工業大学) 工2514号  平成9年3月31日

免許
医師免許         322715号   平成元年5月26日

賞罰
平成5年11月 第13回医療情報学連合大会優秀論文賞
平成7年11月 第15回医療情報学連合大会研究奨励賞
平成14年12月 ICDM 2002 Best Service Award
平成19年    2007年度大川出版賞  「データマイニングの基礎」
平成20年8月  IEEE CBMS Best Paper Runner-Up Award (2008)
平成23年6月 人工知能学会功労賞
平成24年4月  SRII Global Conference Best Paper Award (2012)
平成26年9月  ICServ2014 Best Paper Award (2014)
平成28年8月   ITQM2016 Best Paper Award (2016)

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著書

呉景龍, 津本周作 共編著: 神経医工学, 東京: オーム社, 2009
元田浩,津本周作,山口高平,沼尾政男: 「データマイニングの基礎」IT Text, 東京: オーム社, 2006

業績
(日本文を含む, 年度別)

業績リスト

英文 Journal論文

2017
1. 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
1. 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)
2. Shusaku Tsumoto, Shoji Hirano and Yuko Tsumoto: Quantitative Estimation of Software Quality in Hospital Information System, Neuroscience and Biomedical Engineering 4(1): 57 - 66
3. Shusaku Tsumoto, Shoji Hirano: Multidimensional temporal mining in hospital information system. IJCIStudies 5: p.317-337, 2016.

2015
1. 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)
2. 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.

2014
1. 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)
2. 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
1. 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)
2. 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)
3. Shusaku Tsumoto, Shoji Hirano: Combinatorics of Information Granule in Contingency Table. Int. J. Intell. Syst. 28(9): 892-906 (2013)
4. Shusaku Tsumoto, Shoji Hirano:Combinatorics in Pearson residuals. IJKESDP 4(1): 72-84 (2013)
5. 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)
6. 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
1. 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
2. Hidenao Abe and Shusaku Tsumoto: Detection of research trends from bibliographical data. IJDMMM 4: 255-266, 2012

2011
1. Y. Tsumoto, S. Tsumoto: Correlation and Regression Analysis for Characterizations of a University Hospital. Rev Socionetwork Stra. 5: 43-55, 2011
2. S. Tsumoto, S. Hirano: Detection of risk factors using trajectory mining J. Intell. Inf. Syst. 36: 403-425, 2011
3. 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
4. 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
1. 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
2. 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).
3. *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
1. Yingxu Wang, Du Zhang, Shusaku Tsumoto: Preface: Cognitive Informatics, Cognitive Computing, and Their Denotational Mathematical Foundations (I). Fundam. Inform. 90(3): (2009)
2. 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)
3. Hidenao Abe, Shusaku Tsumoto: Investigating Accuracies of Classifications for Randomized Imbalanced Class Distributions. Fundam. Inform. 90(4): 369-378 (2009)
4. Shusaku Tsumoto, Shoji Hirano: Contingency Matrix Theory II: Degree of Dependence as Granularity. Fundam. Inform. 90(4): 427-442 (2009)
5. Shusaku Tsumoto: Preface: Cognitive Informatics, Cognitive Computing, and Their Denotational Mathematical Foundations (II). Fundam. Inform. 90(4): (2009)
6. Shusaku Tsumoto: Contingency matrix theory: Statistical dependence in a contingency table. Inf. Sci. 179(11): 1615-1627 (2009)

2008
1. Shusaku Tsumoto, Shoji Hirano: Contingency Matrix Theory I: Rank and Statistical Independence in a Contigency Table. Transactions on Computational Science 2: 161-179 (2008)
2. 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
1. 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)
2. Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi: Evaluating Learning Algorithms to Support Human Rule - Evaluation Based on Objective Rule Evaluation Indices. Data Science Journal 6: 285-296 (2007)
3. Shusaku Tsumoto, Shoji Hirano: Visualization of Differences between Rules' Syntactic and Semantic Similarities using Multidimensional Scaling. Fundam. Inform. 78(4): 561-573 (2007)
4. Shusaku Tsumoto, Shoji Hirano: Detection of interesting rules using visualization of differences between rules' syntactic and semantic similarities using multidimensional scaling. KES Journal 11(5): 345-354 (2007)
5. S. Hirano and S. Tsumoto: Temporal Data Mining in Hospital Information Systems: Analysis of Clinical Courses of Chronic Hepatitis. International Journal of Intelligent Computing in Medical Sciences andImage Processing, 1(1):9-20 (2007)
6. S. Hirano and S. Tsumoto: Cluster analysis of trajectory data on hospital laboratory examinations. AMIA Annu Symp Proc. 2007 Oct 11:324-8.
7. Abe H, Yokoi H, Tsumoto S, Ohsaki M, Yamaguchi T.: Evaluating learning models with transitions of human interests based on objective rule evaluation indices. Stud Health Technol Inform. 2007;129(Pt 1):581-5.

2006
1. Editor of Special Issues on Chance Discovery, New Mathematics and Natural Computation 2: 2006.
2005
1. S. Hirano and S. Tsumoto: Rough Representation of a Region of Interest in Medical Images. International Journal of Approximate Reasoning 40: 23-34, 2005
2. 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
1. Tsumoto S: Mining diagnostic rules from clinical databases using rough sets and medical diagnostic model, Information Sciences, 162: 63-137, 2004.
2. Hirano S, Sun X and Tsumoto S: Comparison of clustering methods for clinical databases. Information Sciences, 159: 155-165, 2004.
3. Tsumoto S: Extraction of Structure of Medical Diagnosis from Clinical Data
Fundamenta Informaticae 59: 271-285, 2004

2003
1. Tsumoto S: Automated extraction of hierarchical decision rules from clinical databases using rough set model, Expert Systems with Applications,24: 189-197, 2003.
2. Tsumoto S: Chance Discovery in Medicine - Detection of Rare Risky Events in Chronic Diseases -. New Generation Computing 21: 135-147, 2003.
3. Hirano S. and Tsumoto S: An Indiscernibility-Based Clustering Method with Iterative Refinement of Equivalence Relations – Rough Clustering-. Journal of Advanced Computational Intelligence and Intelligent Informatics 7: 169-177, 2003.

2002
1. Tsumoto S, Hirano S, Yasuda A, Tsumoto K: Analysis of amino acid sequences by statistical technique, Information Sciences 145: 205-214, 2002
2. Tsumoto S: Rule induction, rough sets and matroid theory. Communications of Institute and Computing Machinery 5: 89-94, 2002
3. Hirano S, Tsumoto S, Okuzaki T, Hata Y, Tsumoto K: Analysis of biochemical data aided by a rough sets-based clustering technique. International Journal of Fuzzy Systems 4: 759-765, 2002

2001
1. Yokoyama S, Matsuoka K, Tsumoto S, Harao M, Yamakawa T, Sugahara K, Nakahama C, Ichiyama S, Watanabe K: Study on the association between the patients' clinical background and the anaerobes by data mining in infectious diseases database. Biomedical Soft Computing and Human Sciences 7: 69-75, 2001

2000
1. Tsumoto S: Knowledge discovery in clinical databases and evaluation of discovered knowledge in outpatient clinic. Journal of Information Sciences 124: 125-137, 2000
2. 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
3. Tsumoto S: Automated knowledge discovery in clinical databases based on rough set model. INFOR 38: 196-208, 2000

1999
1. Takabayashi K, Tomita M, Tsumoto S, Suzuki T, Yamazaki S, Honda M, Satomura Y, Iwamoto I, Saito Y, Tomioka H: Computer-assisted instructions for patients with bronchial asthma. Patient Education and Counseling 38: 241-248, 1999

1998
1. Shusaku Tsumoto: Automated Extraction of Medical Expert System Rules from Clinical Databases on Rough Set Theory. Journal of Information Sciences 112: 67-84, 1998.
2. Tsumoto, S. Extraction of Experts' Decision Rules from Clinical Databases using Rough Set Model. Journal of Intelligent Data Analysis, 2(3), 215-227, 1998.
3. Tsumoto, S. Automated Knowledge Acquisition from Clinical Databases and its Evaluation. MEDINFO98, 649-653, 1998 (IOS Press).
4. Tsumoto, S. Automated Knowledge Acquisition based on Rough Sets and Attribute-Oriented Generalization. JAMIA 5 (Supplement), 548-552, 1998.

1997
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.

1996
1. 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.
2. 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
1. Tsumoto, S. and Tanaka, H. PRIMEROSE: Probabilistic Rule Induction Method based on Rough Sets and Resampling Methods. Computational Intelligence 11, 389-405, 1995.
2. 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.
3. 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.
4. 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.

1994
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.

英文著書 (2003-2012)
2012
1. Fabio Massimo Zanzotto, Shusaku Tsumoto, Niels Taatgen, Yiyu Yao (Springer Verlag 2012)

2009
1. Djamel A. Zighed, Shusaku Tsumoto, Zbigniew W. Ras, Hakim Hacid: Mining Complex Data Springer 2009
2. Sanjay Chawla, Takashi Washio, Shin-ichi Minato, Shusaku Tsumoto, Takashi Onoda, Seiji Yamada, Akihiro Inokuchi: New Frontiers in Applied Data Mining, PAKDD 2008 International Workshops, Osaka, Japan, May 20-23, 2008. Revised Selected Papers Springer 2009
3. Peng Wen, Yuefeng Li, Lech Polkowski, Yiyu Yao, Shusaku Tsumoto, Guoyin Wang: Rough Sets and Knowledge Technology, 4th International Conference, RSKT 2009, Gold Coast, Australia, July 14-16, 2009. Proceedings Springer 2009

2008
1. Zbigniew W. Ras, Shusaku Tsumoto, Djamel A. Zighed: Mining Complex Data, ECML/PKDD 2007 Third International Workshop, MCD 2007, Warsaw, Poland, September 17-21, 2007, Revised Selected Papers MCD 2008
2. Shuichi Iwata, Yukio Ohsawa, Shusaku Tsumoto, Ning Zhong, Yong Shi, Lorenzo Magnani: Communications and Discoveries from Multidisciplinary Data Springer 2008
3. *Shusaku Tsumoto and Shoji Hirano: Risk Mining as New Trends in Hospital Management, In: Hillol Kargupta, Jiawei Han, Philip S. Yu, Rajeev Motwani, Vipin Kumar (eds.) New Generation of Data Mining, Chapman & Hall/CRC Press, 2008.

2006
1. Hiroshi Motoda, Shusaku Tsumoto, Takahira Yamaguchi, Masao Numao. Elements of Data Mining, Ohmsha, Tokyo, 2006 (Japanese)
2. Achim G. Hoffmann, Byeong Ho Kang, Debbie Richards, Shusaku Tsumoto: Advances in Knowledge Acquisition and Management, Pacific Rim Knowledge Acquisition Workshop, PKAW 2006, Guilin, China, August 7-8, 2006, Revised Selected Papers Springer 2006
3. Shusaku Tsumoto, Chris Cliffton and Ning Zhong: ICDM 2006 Workshops (CD-ROM), 2006

2005
1. Shusaku Tsumoto, Takahira Yamaguchi, Masayuki Numao, Hiroshi Motoda: Active Mining, Second International Workshop, AM 2003, Maebashi, Japan, October 28, 2003, Revised Selected Papers Springer 2005
2. Mohand-Said Hacid, Neil V. Murray, Zbigniew W. Ras, S. Tsumoto(eds): Foundations of Intelligent Systems, 15th International Symposium(ISMIS 2005), Heidelberg: Springer, 2005
3. Lin, T.Y.; Ohsuga, S.; Liau, C.-J.; Hu, X.; Tsumoto, S. (Eds.) Foundations of Data Mining and Knowledge Discovery., Studies in Computational Intelligence , Vol. 6, 2005.

2004
1. S. Tsumoto, R. Slowinski, J. Komorowski and J. W. Grzymala-Busse (eds.): Rough Sets and Current Trends in Computing (LNCS 3066), Heidelberg: Springer, 2004

2003
1. N. Zhong, Z. W. Ras, S. Tsumoto, and E. Suzuki (eds.): Foundation of Intelligent Systems, Heidelberg: Springer, 2003
2. M. Inuiguchi, S. Hirano, and S. Tsumoto (eds.): Rough Set Theory and Granular Computing, Heidelberg: Springer, 2003


日本語論文

2012
1. 安田晃, 平野章二, 阿部秀尚, 津本周作: 情報科学演習期間におけるグループ内変動の定量的分析. 医療情報学. 32: 65-71, 2012
2011
1. 津本周作, 平野章二, 阿部秀尚: 病院情報システムに基づく診療サービスの創出に向けて. 人工知能学会誌. 26: 139-146, 2011
2008
1. 津本周作, 平野章二, 津本優子: 医療リスクの計量化. 計量生物学29: 155-176, 2008.
2. 松岡喜美子, 横山茂樹, 和泉多映子, 津本周作, 川崎直人, 棚田成紀:
データマイニングによる乳酸菌投与・非投与症例の血流感染と臨床背景の解析
日本臨床検査自動化学会会誌, 33(3) : 234-241, 2008.

2007
1. 津本周作: リスクマイニングとその医療応用. 人工知能学会誌 22: 677-682, 2007.
2. 津本周作, 平野章二 : 複合医工学としてのデータマイニング. 人工知能学会誌 22: 201-207, 2007
3. 阿部秀尚, 平野章二, 津本周作: テキストマイニングによる退院時サマリーからの時系列関係知識抽出. 医療情報学27: 33-38, 2007.
4. 大崎美穂, 阿部秀尚, 津本周作, 横井英人, 山口高平: 医学知識発見におけるルールの 興味深さ指標の評価. 情報処理学会論文誌 48: 1859-1873, 2007.
5. 和泉多映子, 新見喜洋, 比良野正孝, 松岡喜美子, 横山茂樹, 津本周作, 原尾 政: 医療 データマイニングを用いたリスクマネジメント. 日本臨床検査自動化学会会誌32: 26-33, 2007.

2006
1. 平野章二, 津本周作: 軌跡表現と多重スケール比較を基礎とした不均質時系列医療データのクラスタ分析. 医療情報学 26: 257-266, 2006.

2005
1. 津本周作, 山口高平, 沼尾正行, 元田 浩: 特集「アクティブマイニング」にあたって. 人工知能学会誌 20: 145-148, 2005
2. 阿部秀尚, 大崎美穂, 山口高平: メタ学習機構に基づくアクティブマイニング. 人工知能学会誌 20: 180-187, 2005
3. 津本周作,平野章二,高林克日己: ラフ集合に基づくアクティブマイニングによる診療情報生成システムの開発. 人工知能学会誌 20: 203-210, 2005

2004
1. 安田 晃, 柳樂真佐実, 平野章二, 花田英輔, 津本周作: 医療情報学実習発表会におけるグループ間およびグループ内の評価についての数量化. 医療情報学 24: 25-34, 2004

2002
1. 柳樂真佐実, 安田 晃, 孫 暁光, 平野章二, 津本周作: 現在の病院情報システムの評価に関する分析. 医療情報学 22: 51-57, 2002.
2. 津本周作: 医療におけるデータマイニングの現状と展望. 日本ME学会誌BME 16: 24-29, 2002
3. 津本周作: 専門家との協調と知識発見-データマイニングからアクティブマイニングへ-. 計測と制御 41: 331-336, 2002
4. 横井英人, 平野章二, 高林克日己, 津本周作, 里村洋一: 慢性ウイルス性肝炎データに関するアクティブマイニング-病院情報システムにおける知識発見プロセスの実現に向けて-. 人工知能学会誌 17: 622-628, 2002    
5. 花田英輔, 平野章二, 渡辺義明, 津本周作: 医療機関における無線LANの活用方法と注意点. 医療情報学 22: 287-294, 2002

2001
1. 津本周作: 特集 データマイニングコンテスト 医学における知識発見手法の可能性. 情報処理 42: 472-477, 2001
2. 津本周作: 特集 ラフ集合の理論と応用 ラフ集合論の現状と課題. 日本ファジィ学会誌 13: 552-561, 2001
3. 鈴木英之進, 菅谷信介, 津本周作: サポートベクターマシンに基づく医療データからの事例発見. オペレーションズリサーチ 21: 243-248, 200.
4. 安田 晃, 柳樂真佐実, 孫 暁光, 津本周作, 山本和子: 自主学習における学生の自己評価の変動に関する解析. 医学教育 32: 69-75, 2001

2000
1. 安田晃, 柳樂真佐実, 孫暁光, 津本周作, 山本和子: 自主学習における学生の学習態度に関する数量化. 医療情報学 20: 287-294, 2000 .
2. 津本周作: 知識発見手法の比較と評価のための共通データ. 人工知能学会誌 15: 751-758, 2000.
3. 津本周作, 高林克日己: 知識発見手法により生成された知識の比較と評価. 人工知能学会誌 15: 790-797, 2000

1999
1. 山本和子, 津本周作: 診療情報の情報の共有化の為の方法. 日本ME学会誌"BME" 13: 53-59, 1999

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Last Update: 1 Oct 2016

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