医療情報学
著書
1) Tsumoto S, Numao M, Yamaguchi Y, Motoda H: Active mining. Lecture Notes in Computer
Science 3430, Heidelberg: Springer, 2005
2) Hacid MS, Murray NV, Ras ZW, Tsumoto S (eds.): Foundations of intelligent systems, 15th
International Symposium(ISMIS 2005), Heidelberg: Springer, 2005
3) Hoffmann AG, Kang BH, Richards D, Tsumoto S (eds.): Advances in knowledge acquisition
and management, Pacific Rim Knowledge Acquisition Workshop, PKAW 2006, Guilin, China,
August 7-8, 2006, Revised Selected Papers, Heidelberg: Springer, 2006
4) Ohsawa Y, Tsumoto S (eds.): Chance discoveries in real world decision making data-based
interaction of human intelligence and artificial intelligence series: Studies in Computational
Intelligence, Vol. 30, Heidelberg: Springer, 2006
5) Greco S, Hata Y, Hirano S, Inuiguchi M, Miyamoto S, Nguyen H S, Slowinski R (eds.): Roughsets and current trends in computing, Lecture Notes in Computer Science 4259, Heidelberg:
Springer, 2006
6) Abe H, Ohsaki M, Yokoi H, Yamaguchi T: Implementing an integrated time-series data mining
environment based on temporal pattern extraction methods: A case study of an interferon
therapy risk mining for chronic hepatitis, in Washio T, Sakurai A, Nakajima K, Takeda H, Tojo
S, Yokoo M (eds.): New Frontiers in Artificial Intelligence 4012, Heidelberg: Springer, 2006,
pp.425-435
7) 元田浩, 津本周作, 山口高平, 沼尾正行: 「データマイニングの基礎」IT Text, オーム社,
東京, 2006
学術論文1) Hirano S, Tsumoto S: Rough representation of a region of interest in medical images.
International Journal of Approximate Reasoning 40: 23-34, 2005
2) Tsumoto S, Hirano S: Automated discovery of chronological patterns in long time-series
medical datasets. International Journal of Intelligent Systems 20: 737-757, 2005
3) Tsumoto S, Hirano S: Visualization of similarities and dissimilarities in rules using
multidimensional scaling. Lecture Notes in Artificial Intelligence 3488: 38-46, 2005
4) Tsumoto S: Statistical independence from the viewpoint of linear algebra. Lecture Notes in
Artificial Intelligence 3488: 56-64, 2005
5) Hirano S, Tsumoto S: Clustering time-series medical databases based on the improved
multiscale matching. Lecture Notes in Artificial Intelligence 3488: 612-621, 200516) Tsumoto S, Hirano S: On degree of dependence based on contingency matrix. Lecture Notes in
Artificial Intelligence 3641: 471-480, 2005
7) Hirano S, Tsumoto S: A clustering method for spatio-temporal data and its application to soccer
game records. Lecture Notes in Artificial Intelligence 3641: 612-621, 2005
8) Hirano S, Tsumoto S: Empirical comparison of clustering methods for long time-series
databases. Lecture Notes in Computer Science 3430: 268-286, 2005
9) 中林愛恵, 花田英輔, 中國秀章, 津村弘人, 津本周作: DPC データの分析と活用による包括医療の効率化. 日本診療録管理学会会誌 17: 142, 2005
10) 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, 200511) 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
12) 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
13) Tsumoto S: Editor of special issues on chance discovery. New Mathematics and Natural
Computation 2: 57-58, 2006.
14) Abe H, Tsumoto S, Ohsaki M, Yamaguchi T: Evaluating model construction methods with
objective rule evaluation indices to support human experts. Lecture Notes in Computer Science
3885: 93-104, 2006
15) Abe H, Tsumoto S, Ohsaki M, Yamaguchi T: Evaluating a rule evaluation support method
based on objective rule evaluation indices. Lecture Notes in Computer Science 3918: 509-519,
200616) Abe H, Tsumoto S, Ohsaki M, Yamaguchi T: Developing a rule evaluation support method
based on objective indices. Lecture Notes in Computer Science 4062: 456-461, 200617) Abe H, Tsumoto S, Ohsaki M, Yamaguchi T: Evaluating learning algorithms for a rule
evaluation support method based on objective rule evaluation indices. Lecture Notes in
Computer Science 4203: 379-388, 200618) Hirano S, Tsumoto S: Characteristics of indiscernibility degree in rough clustering examinedusing perfect initial equivalence relations. Lecture Notes in Computer Science 4203: 454-462,
200619) Tsumoto S: Pawlak rough set model, medical reasoning and rule mining. Lecture Notes in
Computer Science 4259: 53-70, 200620) Tsumoto S, Hirano S: Distribution of determinants of contingency matrix. Lecture Notes in
Computer Science 4259: 567-576, 200621) Tsumoto S, Hirano S: Interpretation of contingency matrix using marginal distributions.
Lecture Notes in Computer Science 4259: 577-586, 2006222) Abe H, Tsumoto S, Ohsaki M, Yamaguchi T: Evaluating learning models for a rule evaluation
support method based on objective indices. Lecture Notes in Computer Science 4259: 687-695,
200623) Tsumoto S, Matsuoka K, Yokoyama S: Risk mining: Mining nurses' incident factors andapplication of mining results to prevention of incidents. Lecture Notes in Computer Science
4259: 706-715, 200624) Hirano S, Tsumoto S: A framework for unsupervised selection of indiscernibility threshold inrough clustering. Lecture Notes in Computer Science 4259: 872-881, 200625) Abe H, Tsumoto S, Ohsaki M, Yokoi H, Yamaguchi T: Evaluating learning algorithms withmeta-learning schemes for a rule evaluation support method based on objective indices. Lecture
Notes in Computer Science 4303: 75-88, 2006
26) Abe H, Yamaguchi T: A constructive meta-level feature selection method based on method
repositories. Journal of Computers 1: 20-26, 200627) Hanada E, Fujiki T, Nakakuni H, Sullivan CV: The effectiveness of the installation of a mobile
voice communication system in a university hospital. Journal of Medical Systems 30: 101-106,
200628) 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
学会発表
1) Hirano S, Tsumoto S: A parallel, strucutural comparison scheme of time-series implemented ona PC cluster. SAINT Workshop on Computer Intelligence for Exabyte Scale Data Explosion.
Trento, January 2005
2) 大崎美穂, 阿部秀尚, 北口真也, 横井英人, 山口高平: 不等間隔な標本化と量子化を用いた時系列パターン抽出手法の開発と評価. 第 69 回人工知能学会知識ベースシステム
研究会. 淡路島, 2005 年 2 月
3) Abe H, Yamaguchi T: Implementing an integrated time-series data mining environment -A casestudy of medical KDD on chronic hepatitis-. First International Conference on Complex
Medical Engineering. Takamatsu, May 2005
4) Tsumoto S, Hirano S, Hanada E: Clinical dicision support based on mobile telecommunication
ststem. First International Conference on Complex Medical Engineering. Takamatsu, May 2005
5) Hirano S, Tsumoto S: Cluster analysis of platelet sequences in chronic hepatitis patients bymodified multiscale matching. First International Conference on Complex Medical Engineering.
Takamatsu, May 2005
6) Tsumoto Y, Tsumoto S: Analysis of hospital management data using generalized linear model.
First International Conference on Complex Medical Engineering. Takamatsu, May 20053

7) Tsumoto S, Hirano S: Visualization of similarities and dissimilarities in rules using
multidimensional scaling. 15th International Symposium on Methodologies for Intelligent
Systems. Saratoga Springs, May 2005
8) Tsumoto S: Statistical independence from viewpoint of linear algebra. 15th International
Symposium on Methodologies for Intelligent Systems. Saratoga Springs, May 2005
9) Hirano S, Tsumoto S: Clustering time-series medical databases based on improved multiscale
matching. 15th International Symposium on Methodologies for Intelligent Systems. Saratoga
Springs, May 2005
10) Tsumoto S: Granularity and statistical independence in a contingency table. SPIE Defense andSecurity Symposium 2005. Orlando, May 200511) Hirano S, Tsumoto S: Classification of temporal sequences using multiscale matching andrough clustering. SPIE Defense and Security Symposium 2005. Orlando, May 2005
12) Tsumoto S, Hirano S: On statistical independence of a contingency matrix. SPIE Defense andSecurity Symposium 2005. Orlando, May 200513) 安田晃, 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. 関西 SAS ユーザー会. 大阪, 2005 年 5 月
14) Abe H, Ohsaki M, Yokoi H, Yamaguchi T: Evaluating an integrated time-series data mining
environment -A case study on a cronic hepatitis data mining-. First International Conference on
Risk Management Systems with Intelligent Data Analysis. Kitakyushu, June 2005
15) Tsumoto S, Hirano S: On degree of dependence in a contingency matrix. North American
Fuzzy Information Processing Society Annual Conference 2005. Banff, Canada, Jun 200516) Tsumoto S, Hirano S, Abe H, Nakakuni H, Hanada E: E-medical decision support system fortelemedicine. E-society 2005. Qawra, June 200517) Tsumoto S: Automated extraction of diagnostic taxonomy and diagnostic rules from clinicaldatabases. E-society 2005. Qawra, June 200518) 阿部秀尚, 北口真也, 大崎美穂, 津本周作, 山口高平: 客観指標群に基づくルール評価
支援ツールの開発 −髄膜脳炎データマイニングを対象として−. 第 19 回人工知能学会全国大会. 北九州, 2005 年 6 月
19) 阿部秀尚, 平野章二, 津本周作: 病状経過知識抽出のためのテキストマイニング. 第 19回人工知能学会全国大会. 北九州, 2005 年 6 月
20) 平野章二, 津本周作: ラフクラスタリングによる医療データの類型化の試み. 第 19 回
人工知能学会全国大会. 北九州, 2005 年 6 月
21) 平野章二, 津本周作: 近似に基づく医用画像分割の一手法とその頭部ＭＲ画像への応用. 第 2 回日本知能情報ファジイ学会ラフ集合に関する合同研究会. 北九州, 2005 年 6月22) 安田 晃, 平野章二, 阿部秀尚, 中國秀章, 花田英輔, 津本周作: 情報科学演習における4

学習行動の数量化. 第 6 回看護情報研究会. 札幌, 2005 年 6 月23) Hirano S, Tsumoto S: Rough cluster analysis. 8th Joint Conference on Information Sciences.
Salt Lake City, July 200524) Tsumoto Y, Tsumoto S: Hospital management data mining towards chance discovery. 8th Joint
Conference on Information Sciences. Salt Lake City, July 2005
25) Tsumoto S, Hirano S: Linear independence in a contingency table. 2005 IEEE International
Conference on Granular Computing. Bejing, July 2005
26) Hirano S, Tsumoto S: An indiscernibility-based clustering method. 2005 IEEE International
Conference on Granular Computing. Bejing, July 200527) Tsumoto S: ［Invited Talk］ Degree of dependence as granularity in a contingency table. 2005
IEEE International Conference on Granular Computing. Bejing, July 200528) 安田 晃, 平野章二, 阿部秀尚, 中國秀章, 花田英輔, 津本周作: 学生の学習行動における実習イメージの分析. 第 37 回日本医学教育学会. 東京, 2005 年 7 月
29) 阿部秀尚, 山口高平: 統合型時系列データマイニング環境の開発と評価. 電子情報通信学会 KBSE 研究会. 愛媛, 2005 年 7 月
30) Tsumoto S: ［Invited Talk］ Active mining project and rough set analysis. 5th China
Conference on Rough Sets and Soft Computing. Anshan, August 200531) Tsumoto S: ［Panel Discussion］ From rough sets to granular computing. 5th China Conferenceon Rough Sets and Soft Computing. Anshan, August 200532) Hirano S, Tsumoto S: A clustering method for spatio-temporal data and its application to soccer
game records. 10th International Conference on Rough Sets, Fuzzy Sets, Data Mining, andGranular Computing. Regina, August 2005
33) Tsumoto S, Hirano S: On degree of dependence based on contingency matrix. 10th
International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing.
Regina, August 200534) 安田 晃, 平野章二, 阿部秀尚, 中國秀章, 花田英輔, 津本周作: 情報科学演習期間中における学習行動の類似性に関する定量的分析. 教育システム情報学会 30 周年記念全国大会. 金沢, 2005 年 8 月
35) Tsumoto S, Hirano S, Abe H, Nakakuni H, Hanada E: Clinical decision support based on
mobile telecommunication systems. 2005 IEEE/WIC/ACM International Conference on WebIntelligence 2005. Compiegne, September 200536) 中林愛恵, 花田英輔, 中國秀章, 津村弘人, 津本周作: DPC データの分析と活用による包括医療の効率化. 第 31 回日本診療録管理学会学術大会.秋田, 2005 年 9 月37) Hirano S, Tsumoto S: Strucutural comparison and cluster analysis of time-series medical data.
2005 IEEE International Conference on Systems, Man and Cybernetics. Hawaii, October 200538) Tsumoto S: Visualization of differences between rules' syntactic and semantic similarities. 2005

5

IEEE International Conference on Systems, Man and Cybernetics. Hawaii, October 200539) Hirano S, Tsumoto S: Temporal analysis of platelet data in chronic viral hepatitis dataset.
ECML/PKDD 2005 Discovery Challenge. Porto, October 200540) Hirano S, Tsumoto S: Grouping of soccer game records by multiscale comparison techniqueand rough clustering. 5th International Conference on Hybrid Intelligent Systems. Rio deJaneiro, November 200541) Abe H, Tsumoto S, Ohsaki M, Yamaguchi T: Evaluating a rule evaluation support method withlearning models based on objective rule evaluation indices -A case study on a meningitis data
mining-. Fifth International Conference on Hybrid Intelligent Systems. Rio de Janeiro,
November 200542) Abe H, Tsumoto S, Ohsaki M, Yamaguchi T: A rule evaluation support method with learningmodels based on objective rule evaluation indexes. Fifth International Conference on Data
Mining. Houston, November 200543) Tsumoto S: Contingency Table as Linear Space: Towards a theory of contingency table.
BISCSE 2005. Berkeley, November 200544) 阿部秀尚, 津本周作, 大崎美穂, 山口高平: ルール評価支援ツールのためのルール評価
モデル構築アルゴリズムの評価. 第 25 回医療情報学連合大会. 横浜, 2005 年 11 月45) 津本周作, 阿部秀尚, 平野章二: テキストマイニングによる退院時サマリーからの病状
経過知識抽出. 第 25 回医療情報学連合大会. 横浜, 2005 年 11 月46) 安田 晃, 平野章二, 阿部秀尚, 中國秀章, 花田英輔, 津本周作: 医療情報学実習期間中の２学科の学習行動における類似性に関する定量的分析. 日本行動計量学会第 33 回大会. 東京, 2005 年 11 月47) 花田英輔, 工藤孝人, 中國秀章, 平野章二, 津本周作: 医用電子機器への影響とセキュ
リティに配慮した無線ＬＡＮシステムの導入と評価. 第 25 回医療情報学連合大会. 横浜, 2005 年 11 月
48) 中國秀章, 花田英輔, 八國秀子, 津本周作: 大学病院における医師向け PHS の導入効果.
第 25 回医療情報学連合大会. 横浜, 2005 年 11 月49) 安田 晃, 平野章二, 阿部秀尚, 中國秀章, 花田英輔, 津本周作: 医療情報学実習における学習行動の時系列変化. 第 25 回医療情報学連合大会. 横浜, 2005 年 11 月
50) 中林愛恵, 花田英輔, 中國秀章, 津村弘人, 津本周作: 診療情報管理士を含む効率的な
DPC チェック体制の構築. 第 25 回医療情報学連合大会. 横浜, 2005 年 11 月
51) 平野章二, 津本周作: パターン認識手法に基づく多次元時系列医療データの分類. 第 25回医療情報学連合大会. 横浜, 2005 年 11 月
52) 平野章二, 津本周作: ラフクラスタリングにおける識別不能度とクラスタ数の関係. 第3 回日本知能情報ファジイ学会ラフ集合に関する合同研究会. 東京, 2005 年 12 月53) 阿部秀尚, 大崎美穂, 横井英人, 山口高平, 津本周作: 客観的指標群に基づくルール評6価支援手法の評価 −慢性肝炎データマイニング結果を対象として−. 電子情報通信学会 KBSE 研究会・第 72 回 KBS 研究会 合同研究会. 横浜, 2006 年 1 月
54) Abe H, Tsumoto S, Ohsaki M, Yamaguchi T: Evaluating model construction methods with
objective rule evaluation indices to support human experts. Modeling Decisions for Artificial
Intelligence 2006. Tarragona, April 2006
55) Abe H, Tsumoto S, Ohsaki M, Yamaguchi T: Evaluating a rule evaluation support method
based on objective rule evaluation indices. 10th Pacific-Asia Conference on Knowledge
Discovery and Data Mining. Singapore, April 2006
56) Tsumoto S: [Panel Discussion] Panel on Computational Intelligence. 2006 IEEE International
Conference on Granular Computing. Atlanta, May 2006
57) Tsumoto S, Hirano S: Characterization of contextual independene of contigency table. 2006
IEEE International Conference on Granular Computing. Atlanta, May 2006
58) Tsumoto S, Hirano S: Analysis of sample size effect on dependency of contingency matrix.
2006 IEEE International Conference on Granular Computing. Atlanta, May 2006
59) Tsumoto S, Tsumoto Y: Construction of statistical models for hospital management. Second
international R user conference. Vienna, June 2006
60) Tsumoto S, Hirano S: Role of marginal distribution in a contingency table. North American
Fuzzy Information Processing Society Annual Conference 2006. Montreal, June 200661) 阿部秀尚, 津本周作, 大崎美穂, 山口高平: メタ学習に基づくルール評価支援手法の評
価. 第 20 回人工知能学会全国大会. 東京, 2006 年 6 月
62) 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. 第 10 回日本医療情報学会春季学術大会. 神戸, 2006 年 6 月
63) 安田 晃, 平野章二, 阿部秀尚, 中國秀章, 花田英輔, 津本周作: 情報科学演習発表会における評価行動の定量的分析. 第 7 回看護情報研究会. 神戸, 2006 年 6 月
64) Abe H, Tsumoto S, Ohsaki M, Yamaguchi T: Developing a rule evaluation support method
based on objective indices. First International Conference on Rough Sets and Knowledge
Technology. Chongquing, July 2006
65) Tsumoto S: Accuracy and coverage in rough set rule induction. 11th International Conferenceon Information Processing and Management of Uncertainty in Knowledge-Based Systems.
Paris, July 200666) Hirano S, Tsumoto S: On the relations between indiscernibility degree and cluster number inrough clustering. 11th International Conference on Information Processing and Management ofUncertainty in Knowledge-Based Systems. Paris, July 200667) 安田 晃, 平野章二, 阿部秀尚, 中國秀章, 花田英輔, 津本周作: テュートリアル教育(情報科学演習)における学習行動の類似性に関する定量分析. SAS Forum ユーザー会 学術総会. 東京, 2006 年 7 月

768) 安田 晃, 平野章二, 阿部秀尚, 中國秀章, 花田英輔, 津本周作: テュートリアル教育（情報科学演習）における学習行動の等質性. 第 38 回日本医学教育学会. 奈良, 2006 年
7月69) Abe H, Tsumoto S, Ohsaki M, Yokoi H, Yamaguchi T: Evaluating learning algorithms withmeta-learning schemes for a rule evaluation support method based on objective indices. 2006
Pacific Rim Knowledge Acquisition Workshop. Guilin, August 200670) Tsumoto S: [Panel Discussion] Data structure and algorithm in data mining: Granular
computing view. 30th Annual International Computer Software and Applications Conference.
Chicago, September 200671) Abe H, Tsumoto S, Ohsaki M, Yamaguchi T: Evaluating learning algorithms for a rule
evaluation support method based on objective rule evaluation indices. 16th International
Symposium on Methodologies for Intelligent Systems. Bari, September 200672) Hirano S, Tsumoto S: Characteristics of indiscernibility degree in rough clustering examinedusing perfect initial equivalence relations. 16th International Symposium on Methodologies forIntelligent Systems. Bari, September 200673) 安田 晃, 澤田泰人, 津本周作: 認定農業者の経営に関する課題認識の定量化. 日本行動計量学会第 34 回大会. 上尾, 2006 年 9 月
74) 澤田泰人, 安田 晃, 津本周作: 島根県認定農業者の経営に関する問題意識の定量的分析. 日本行動計量学会第 34 回大会. 上尾, 2006 年 9 月
75) Tsumoto S: Risk mining. 2006 IEEE International Conference on Systems, Man andCybernetics. Taipei, October 200676) Hirano S, Tsumoto S: On the nature of degree of indiscerniblity for rough clustering. 2006
IEEE International Conference on Systems, Man and Cybernetics. Taipei, October 200677) Tsumoto S: [Plenary Talk] Pawlak rough set model, medical reasoning and rule mining. Fifth
International Conference on Rough Sets and Current Trends in Computing. Kobe November
200678) Tsumoto S, Hirano S: Distribution of determinants of contingency matrix. Fifth International
Conference on Rough Sets and Current Trends in Computing. Kobe, November 200679) Tsumoto S, Hirano S: Interpretation of contingency matrix using marginal distributions. Fifth
International Conference on Rough Sets and Current Trends in Computing. Kobe, November
200680) Abe H, Tsumoto S, Ohsaki M, Yamaguchi T: Evaluating learning models for a rule evaluation
support method based on objective indices. Fifth International Conference on Rough Sets andCurrent Trends in Computing. Kobe, November 200681) Tsumoto S, Matsuoka K, Yokoyama S: Risk mining: mining nurses' incident factors andapplication of mining results to prevention of incidents. Fifth International Conference on

8Rough Sets and Current Trends in Computing. Kobe, November 200682) Hirano S, Tsumoto S: A framework for unsupervised selection of indiscernibility threshold inrough clustering. Fifth International Conference on Rough Sets and Current Trends in
Computing. Kobe, November 200683) 中國秀章, 中林愛恵, 花田英輔, 津本周作: 分布情報に基づく在院日数短縮目標設定に関する一考察. 第 26 回医療情報学連合大会. 札幌, 2006 年 11 月
84) 安田 晃, 平野章二, 阿部秀尚, 中國秀章, 花田英輔, 津本周作: 新入生におけるコンピ
ュータの操作と概念との関係. 第 26 回医療情報学連合大会. 札幌, 2006 年 11 月
85) 阿部秀尚, 平野章二, 津本周作: 退院時サマリーからの時系列関係知識抽出. 第 26 回医療情報学連合大会. 札幌, 2006 年 11 月
86) 平野章二, 津本周作: 動画配信機能を備えた横連携指向グループ作業基盤の構築. 第 26回医療情報学連合大会. 札幌, 2006 年 11 月
87) Hirano S, Tsumoto S: Cluster analysis of time-series medical data based on the trajectory
representation and multiscale comparison techniques. 6th IEEE International Conference on
Data Mining. Hong Kong, December 200688) Abe H, Tsumoto S, Ohsaki M, Yamaguchi T: Evaluating learning algorithms composed by aconstructive meta-learning scheme for a rule evaluation support method. 6th IEEE International
Conference on Data Mining Workshops. Hong Kong, December 200689) Tsumoto S, Hirano S: Residual matrix and statistical independence in a contingency table. 6thIEEE International Conference on Data Mining Workshops. Hong Kong, December 200690) Tsumoto S, Matsuoka K, Yokoyama S: Risk mining in hospital information systems. 6th IEEE
International Conference on Data Mining Workshops. Hong Kong, December 2006
91) Ohsaki M, Abe H, Tsumoto S, Yokoi H, Yamaguchi T: Proposal of medical KDD support userinterface utilizing rule interestingness measures. 6th IEEE International Conference on Data
Mining Workshops. Hong Kong, December 20069