MAGNET: An Active Ditch Extraction Model. - Shoji Hirano; Naotake Kamiura; Yutaka Hata; Makoto Ishikawa (ICIP (2), 1997)

Medical image segmentation by fuzzy logic techniques. - Yutaka Hata; Syoji Kobashi; Shoji Hirano (SMC, 1998)

Segmentation of the fractured foot CT image: a fuzzy-rule-based approach. - Shoji Hirano; Yutaka Hata; Nobuyuki Matsui; Yoshiro Ando; Makato Ishikawa (Image Processing, 2000)

Hippocampus Extraction Based on Parallel Multiscale Structure Matching. - Shoji Hirano; Naotake Kamiura; Nobuyuki Matsui; Yutaka Hata (Int. J. Pattern Recognit. Artif. Intell., 2000)

Automated segmentation of human brain MR images aided by fuzzy information granulation and fuzzy inference. - Yutaka Hata; Syoji Kobashi; Shoji Hirano; Hajime Kitagaki; Etsuro Mori (IEEE Trans. Syst. Man Cybern. Part C, 2000)

A Knowledge-Oriented Clustering Technique Based on Rough Sets. - Shoji Hirano; Shusaku Tsumoto (COMPSAC, 2001)

Analysis of Time-series Medical Databases Using Multiscale Structure Matching and Rough Sets-based. - Shoji Hirano; Xiaoguang Sun; Shusaku Tsumoto (FUZZ-IEEE, 2001)

Indiscernibility Degree of Objects for Evaluating Simplicity of Knowledge in the Clustering Procedure. - Shoji Hirano; Shusaku Tsumoto (ICDM, 2001)

A Clustering Method for Nominal and Numerical Data Based on Rough Set Theory. - Shoji Hirano; Shusaku Tsumoto; Tomohiro Okuzaki; Yutaka Hata (JSAI Workshops, 2001)

Workshop on Rough Set Theory and Granular Computing - Summary. - Shusaku Tsumoto; Shoji Hirano; Masahiro Inuiguchi (JSAI Workshops, 2001)

A Clustering Method Based on Rough Sets and Its Application to Knowledge Discovery in the Medical Database. - Shoji Hirano; Shusaku Tsumoto; Tomohiro Okuzaki; Yutaka Hata (MedInfo, 2001)

A Rough Set-Based Clustering Method with Modification of Equivalence Relations. - Shoji Hirano; Tomohiro Okuzaki; Yutaka Hata; Shusaku Tsumoto; Kouhei Tsumoto (PAKDD, 2001)

Fuzzy expert system for foot CT image segmentation. - Shoji Hirano; Yutaka Hata (Image Vis. Comput., 2001)

Mining Interesting Patterns in Time-series Medical Databases: A Hybrid Approach of Multiscale Matching and Rough Clustering. - Shoji Hirano; Shusaku Tsumoto (AMIA, 2002)

On Similarity Measures for Cluster Analysis in Clinical Laboratory Examination Databases. - Shoji Hirano; Xiaoguang Sun; Shusaku Tsumoto (COMPSAC, 2002)

Evaluation of similarity measures for analysis of databases on laboratory examinations. - Xiaoguang Sun; Shoji Hirano; Shusaku Tsumoto (Data Mining and Knowledge Discovery: Theory, Tools, and Technology, 2002)

Dealing with multiple types of expert knowledge in medical image segmentation: a rough sets style approach. - Shoji Hirano; Xiaoguang Sun; Shusaku Tsumoto (FUZZ-IEEE, 2002)

Mining Similar Temporal Patterns in Long Time-Series Data and Its Application to Medicine. - Shoji Hirano; Shusaku Tsumoto (ICDM, 2002)

Multiscale Comparison of Temporal Patternsin Time-Series Medical Databases. - Shoji Hirano; Shusaku Tsumoto (PKDD, 2002)

Segmentation of Medical Images Based on Approximations in Rough Set Theory. - Shoji Hirano; Shusaku Tsumoto (Rough Sets and Current Trends in Computing, 2002)

Analysis of amino-acid sequences by statistical technique. - Shusaku Tsumoto; Shoji Hirano; Akira Yasuda; Kouhei Tsumoto (Inf. Sci., 2002)

Multiscale Analysis of Long Time-series Medical Databases. - Shoji Hirano; Shusaku Tsumoto (AMIA, 2003)

Empirical Comparison of Clustering Methods for Long Time-Series Databases. - Shoji Hirano; Shusaku Tsumoto (Active Mining, 2003)

Internet-based Decision Support: Towards E-Hospital. - Shusaku Tsumoto; Shoji Hirano; Eisuke Hanada (COMPSAC, 2003)

Comparison of similarity measures and clustering methods for time-series medical data mining. - Shoji Hirano; Shusaku Tsumoto (Data Mining and Knowledge Discovery: Theory, Tools, and Technology, 2003)

Visualization of Rule's Similarity using Multidimensional Scaling. - Shusaku Tsumoto; Shoji Hirano (ICDM, 2003)

Pattern Discovery based on Rule Induction and Taxonomy Generation. - Shusaku Tsumoto; Shoji Hirano (ICDM, 2003)

Indiscernibility-Based Clustering: Rough Clustering. - Shoji Hirano; Shusaku Tsumoto (IFSA, 2003)

Empirical Evaluation of Dissimilarity Measures for Time-Series Multiscale Matching. - Shoji Hirano; Shusaku Tsumoto (ISMIS, 2003)

Dealing with Relative Similarity in Clustering: An Indiscernibility Based Approach. - Shoji Hirano; Shusaku Tsumoto (PAKDD, 2003)

An Indiscernibility-Based Clustering Method with Iterative Refinement of Equivalence Relations. - Shoji Hirano; Shusaku Tsumoto (PKDD, 2003)

An Indiscernibility-Based Clustering Method with Iterative Refinement of Equivalence Relations -Rough Clustering-. - Shoji Hirano; Shusaku Tsumoto (J. Adv. Comput. Intell. Intell. Informatics, 2003)

Cluster analysis of long time-series medical datasets. - Shoji Hirano; Shusaku Tsumoto (Data Mining and Knowledge Discovery: Theory, Tools, and Technology, 2004)

A Comparative Study of Clustering Methods for Long Time-Series Medical Databases. - Shusaku Tsumoto; Shoji Hirano (MDAI, 2004)

Finding Interesting Pass Patterns from Soccer Game Records. - Shoji Hirano; Shusaku Tsumoto (PKDD, 2004)

On the Degree of Independence of a Contingency Matrix. - Shoji Hirano; Shusaku Tsumoto (Rough Sets and Current Trends in Computing, 2004)

Detection of Differences between Syntactic and Semantic Similarities. - Shoji Hirano; Shusaku Tsumoto (Rough Sets and Current Trends in Computing, 2004)

Comparison of clustering methods for clinical databases. - Shoji Hirano; Xiaoguang Sun; Shusaku Tsumoto (Inf. Sci., 2004)

Classification of temporal sequences using multiscale matching and rough clustering. - Shoji Hirano; Shusaku Tsumoto (Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security, 2005)

On statistical independence of a contingency matrix. - Shusaku Tsumoto; Shoji Hirano (Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security, 2005)

An indiscernibility-based clustering method. - Shoji Hirano; Shusaku Tsumoto (GrC, 2005)

Degree of Dependence as Granularity in a Contingency Table. - Shusaku Tsumoto; Shoji Hirano (GrC, 2005)

Linear independence in a contingency table. - Shusaku Tsumoto; Shoji Hirano (GrC, 2005)

Grouping of Soccer Game Records by Multiscale Comparison Technique and Rough Clustering. - Shoji Hirano; Shusaku Tsumoto (HIS, 2005)

Clustering Time-Series Medical Databases Based on the Improved Multiscale Matching. - Shoji Hirano; Shusaku Tsumoto (ISMIS, 2005)

Visualization of Similarities and Dissimilarities in Rules Using Multidimensional Scaling. - Shusaku Tsumoto; Shoji Hirano (ISMIS, 2005)

On Constructing Clusters from Non-Euclidean Dissimilarity Matrix by Using Rough Clustering. - Shoji Hirano; Shusaku Tsumoto (JSAI Workshops, 2005)

A Clustering Method for Spatio-temporal Data and Its Application to Soccer Game Records. - Shoji Hirano; Shusaku Tsumoto (RSFDGrC (1), 2005)

On Degree of Dependence Based on Contingency Matrix. - Shusaku Tsumoto; Shoji Hirano (RSFDGrC (1), 2005)

A Parallel, Structural Comparison Scheme of Time-Series Implemented on a PC Cluster. - Shoji Hirano; Shusaku Tsumoto (SAINT Workshops, 2005)

Strucutural Comparison and Cluster Analysis of Time-Series Medical Data. - Shoji Hirano; Shusaku Tsumoto (SMC, 2005)

Clinical Decision Support Based on Mobile Telecommunication Systems. - Shusaku Tsumoto; Shoji Hirano; Hidenao Abe; Hideaki Nakakuni; Eisuke Hanada (Web Intelligence, 2005)

Rough representation of a region of interest in medical images. - Shoji Hirano; Shusaku Tsumoto (Int. J. Approx. Reason., 2005)

Automated discovery of chronological patterns in long time-series medical datasets. - Shusaku Tsumoto; Shoji Hirano (Int. J. Intell. Syst., 2005)

Decomposition of Contingency Table as Tensor Product. - Shusaku Tsumoto; Shoji Hirano (FUZZ-IEEE, 2006)

Analysis of sample size effect on dependency of contingency matrix. - Shusaku Tsumoto; Shoji Hirano (GrC, 2006)

Characterization of contextual independence of contingency matrix. - Shusaku Tsumoto; Shoji Hirano (GrC, 2006)

Cluster Analysis of Time-Series Medical Data Based on the Trajectory Representation and Multiscale Comparison Techniques. - Shoji Hirano; Shusaku Tsumoto (ICDM, 2006)

Residual Matrix and Statistical Independence in a Contingency Table. - Shusaku Tsumoto; Shoji Hirano (ICDM Workshops, 2006)

Characteristics of Indiscernibility Degree in Rough Clustering Examined Using Perfect Initial Equivalence Relations. - Shoji Hirano; Shusaku Tsumoto (ISMIS, 2006)

A Framework for Unsupervised Selection of Indiscernibility Threshold in Rough Clustering. - Shoji Hirano; Shusaku Tsumoto (RSCTC, 2006)

Distribution of Determinants of Contingency Matrix. - Shusaku Tsumoto; Shoji Hirano (RSCTC, 2006)

Interpretation of Contingency Matrix Using Marginal Distributions. - Shusaku Tsumoto; Shoji Hirano (RSCTC, 2006)

On the Nature of Degree of Indiscerniblity for Rough Clustering. - Shoji Hirano; Shusaku Tsumoto (SMC, 2006)

Meaning of Marginal Distributions in a Contingency Table. - Shusaku Tsumoto; Shoji Hirano (SMC, 2006)

Charcteristics of Pearson Residuals in a Contingency Matrix. - Shusaku Tsumoto; Shoji Hirano (IEEE ICCI, 2007)

Cluster Analysis of Trajectory Data on Hospital Laboratory Examinations. - Shoji Hirano; Shusaku Tsumoto (AMIA, 2007)

Cluster analysis of temporal trajectories of hospital laboratory examinations. - Shoji Hirano; Shusaku Tsumoto (Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security, 2007)

Discovery of exacerbating cases in chronic hepatitis based on cluster analysis of time-series platelet count data. - Shoji Hirano; Shusaku Tsumoto (Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security, 2007)

Trajectory Analysis of Laboratory Tests as Medical Complex Data Mining. - Shoji Hirano; Shusaku Tsumoto (MCD, 2007)

Meaning of Pearson Residuals - Linear Algebra View. - Shusaku Tsumoto; Shoji Hirano (GrC, 2007)

Identifying Exacerbating Cases in Chronic Diseases Based on the Cluster Analysis of Trajectory Data on Laboratory Examinations. - Shoji Hirano; Shusaku Tsumoto (ICDM Workshops, 2007)

Discovery of Risky Cases in Chronic Diseases: An Approach Using Trajectory Grouping. - Shoji Hirano; Shusaku Tsumoto (JSAI, 2007)

Visualization of Similarities and Dissimilarities Between Rules Using Multidimensional Scaling. - Shusaku Tsumoto; Shoji Hirano (KES (2), 2007)

Dealing with granularity on non-euclidean relational data based on indiscernibility level. - Shoji Hirano; Shusaku Tsumoto (SMC, 2007)

Contingency matrix theory. - Shusaku Tsumoto; Shoji Hirano (SMC, 2007)

Visualization of Differences between Rules' Syntactic and Semantic Similarities using Multidimensional Scaling. - Shusaku Tsumoto; Shoji Hirano (Fundam. Informaticae, 2007)

Detection of interesting rules using visualization of differences between rules' syntactic and semantic similarities using multidimensional scaling. - Shusaku Tsumoto; Shoji Hirano (Int. J. Knowl. Based Intell. Eng. Syst., 2007)

Risk Mining as New Trends in Hospital Management. - Shusaku Tsumoto; Shoji Hirano (Next Generation of Data Mining, 2008)

Fuzziness from attribute generalization in information table. - Shusaku Tsumoto; Shoji Hirano (IEEE ICCI, 2008)

Statistical independence in three-variables contingency cube. - Shusaku Tsumoto; Shoji Hirano (IEEE ICCI, 2008)

Mining Trajectories of Laboratory Data using Multiscale Matching and Clustering. - Shusaku Tsumoto; Shoji Hirano (CBMS, 2008)

Trajectory mining using multiscale matching and clustering. - Shoji Hirano; Shusaku Tsumoto (FUZZ-IEEE, 2008)

Partial statistical independence in contingency matrix. - Shusaku Tsumoto; Shoji Hirano (FUZZ-IEEE, 2008)

Hierarchical Clustering of Asymmetric Proximity Data based on the Indiscernibility-level. - Shoji Hirano; Shusaku Tsumoto (GrC, 2008)

Decomposition of Pearson Residuals of Three-variables Contingency Cube. - Shusaku Tsumoto; Shoji Hirano (GrC, 2008)

Statistical Independence and Contingency Matrix. - Shusaku Tsumoto; Shoji Hirano (ICDM Workshops, 2008)

Hospital Management Based on Data Mining. - Shusaku Tsumoto; Shoji Hirano (ISDA (3), 2008)

Detection of Risk Factors as Temporal Data Mining. - Shoji Hirano; Shusaku Tsumoto (PAKDD Workshops, 2008)

Statistical Independence of Multi-variables from the Viewpoint of Linear Algebra. - Shusaku Tsumoto; Shoji Hirano (RSCTC, 2008)

Hierarchical Clustering of Non-Euclidean Relational Data Using Indiscernibility-Level. - Shoji Hirano; Shusaku Tsumoto (RSKT, 2008)

Statistical dependence in contingency data cube. - Shusaku Tsumoto; Shoji Hirano (SMC, 2008)

Contingency Matrix Theory I: Rank and Statistical Independence in a Contigency Table. - Shusaku Tsumoto; Shoji Hirano (Trans. Comput. Sci., 2008)

Discovery of Clusters from Proximity Data: An Approach Using Iterative Adjustment of Binary Classifications. - Shoji Hirano; Shusaku Tsumoto (Communications and Discoveries from Multidisciplinary Data, 2008)

Temporal data mining for hospital management. - Shusaku Tsumoto; Shoji Hirano (Data Mining, Intrusion Detection, Information Security and Assurance, and Data Networks Security, 2009)

Multivariate statistical independence and contingency tables. - Shusaku Tsumoto; Shoji Hirano; Hidenao Abe (GrC, 2009)

Multiscale Comparison of Three-Dimensional Trajectories: A Preliminary Step. - Shoji Hirano; Shusaku Tsumoto (RSFDGrC, 2009)

Pearson Residuals in Multi-way Contingency Tables. - Shusaku Tsumoto; Shoji Hirano; Hidenao Abe (SMC, 2009)

Statistical Independence and Determinants in a Contingency Table - Interpretation of Pearson Residuals based on Linear Algebra -. - Shusaku Tsumoto; Shoji Hirano (Fundam. Informaticae, 2009)

Contingency Matrix Theory II: Degree of Dependence as Granularity. - Shusaku Tsumoto; Shoji Hirano (Fundam. Informaticae, 2009)

Dependency and Granularity inData. - Shusaku Tsumoto; Shoji Hirano (Encyclopedia of Complexity and Systems Science, 2009)

Sampling from databases for rule induction methods based on likelihood ratio test. - Shusaku Tsumoto; Shoji Hirano; Hidenao Abe (IEEE ICCI, 2010)

Hierarchical, Granular Representation of Non-metric Proximity Data. - Shoji Hirano; Shusaku Tsumoto (GrC, 2010)

Information Granules of Statistical Dependence in Multiway Contingency Tables. - Shusaku Tsumoto; Shoji Hirano (GrC, 2010)

Geometrical and Combinatorial Nature of Pearson Residuals. - Shusaku Tsumoto; Shoji Hirano (GrC, 2010)

Curvature Maxima-based Trajectories Mining. - Shoji Hirano; Shusaku Tsumoto (ICDM Workshops, 2010)

Automated Empirical Selection of Rule Induction Methods Based on Recursive Iteration of Resampling Methods and Multiple Testing. - Shusaku Tsumoto; Shoji Hirano (ICDM Workshops, 2010)

Towards Data-Oriented Hospital Services: Data Mining-Based Hospital Management. - Shusaku Tsumoto; Shoji Hirano; Yuko Tsumoto (ICDM Workshops, 2010)

Automated Empirical Selection of Rule Induction Methods Based on Recursive Iteration of Resampling Methods. - Shusaku Tsumoto; Shoji Hirano; Hidenao Abe (IIP, 2010)

Representation of Granularity for Non-Euclidian Relational Data by Jaccard Coefficients and Binary Classifications. - Shoji Hirano; Shusaku Tsumoto (RSCTC, 2010)

Residual Analysis of Statistical Dependence in Multiway Contingency Tables. - Shusaku Tsumoto; Shoji Hirano (RSKT, 2010)

Likelihood-Based Sampling from Databases for Rule Induction Methods. - Shusaku Tsumoto; Shoji Hirano; Hidenao Abe (RSKT, 2010)

Multiscale Comparison of Three-Dimensional Trajectories Based on the Curvature Maxima and Its Application to Medicine. - Shoji Hirano; Shusaku Tsumoto (SBP, 2010)

Three dimensional trajectories mining. - Shusaku Tsumoto; Shoji Hirano (SMC, 2010)

Risk Mining in Medicine: Application of Data Mining to Medical Risk Management. - Shusaku Tsumoto; Shoji Hirano (Fundam. Informaticae, 2010)

Multiscale Comparison and Clustering of Three-Dimensional Trajectories Based on Curvature Maxima. - Shoji Hirano; Shusaku Tsumoto (Int. J. Inf. Technol. Decis. Mak., 2010)

Capturing Behavior of Medical Staff: A Similarity-Oriented Temporal Data Mining Approach. - Shusaku Tsumoto; Shoji Hirano; Haruko Iwata; Yuko Tsumoto (FGIT, 2011)

A clustering method for asymmetric proximity data based on bi-links with ε-indiscernibility. - Shoji Hirano; Shusaku Tsumoto (GrC, 2011)

Combinatorics of pearson residuals and degree of freedom in contingency tables. - Shusaku Tsumoto; Shoji Hirano (GrC, 2011)

Clustering-based analysis in hospital information systems. - Shusaku Tsumoto; Shoji Hirano; Yuko Tsumoto (GrC, 2011)

Visualization of Hospital Services Using Data Mining Methods. - Shusaku Tsumoto; Shoji Hirano; Yuko Tsumoto (ICDM Workshops, 2011)

Information reuse in hospital information systems: A data mining approach. - Shusaku Tsumoto; Shoji Hirano; Yuko Tsumoto (IRI, 2011)

Information Reuse in Hospital Information Systems: A Similarity-Oriented Data Mining Approach. - Shusaku Tsumoto; Shoji Hirano (RSKT, 2011)

Temporal data mining in history data of hospital information systems. - Shusaku Tsumoto; Shoji Hirano; Hidenao Abe; Yuko Tsumoto (SMC, 2011)

Residual as Linear Sum of Matrix Determinants in Multiway Contingency Tables. - Shusaku Tsumoto; Shoji Hirano (Int. J. Comput. Intell. Syst., 2011)

Detection of risk factors using trajectory mining. - Shusaku Tsumoto; Shoji Hirano (J. Intell. Inf. Syst., 2011)

Exploratory temporal data mining process in hospital information systems. - Shusaku Tsumoto; Haruko Iwata; Shoji Hirano; Yuko Tsumoto (ICCI*CC, 2012)

Temporal data mining of order entry histories for characterization of medical practice. - Shusaku Tsumoto; Shoji Hirano; Haruko Iwata (CBMS, 2012)

Construction and maintenance of clinical pathways using data mining methods. - Shusaku Tsumoto; Haruko Iwata; Shoji Hirano (MIX-HS, 2012)

Degree of freedom and numbers of subdeterminants in contingency table. - Shusaku Tsumoto; Shoji Hirano (GrC, 2012)

Geometrical interpretation of pearson residuals. - Shusaku Tsumoto; Shoji Hirano (GrC, 2012)

Visualization of doctors' behavior using similarity-based methods. - Shusaku Tsumoto; Shoji Hirano; Yuko Tsumoto (GrC, 2012)

Temporal Data Mining for Nursing Schedule Management. - Shusaku Tsumoto; Shoji Hirano; Haruko Iwata (IBICA, 2012)

Data-Oriented Construction and Maintenance of Clinical Pathway Using Similarity-Based Data Mining Methods. - Haruko Iwata; Shusaku Tsumoto; Shoji Hirano (ICDM Workshops, 2012)

Multidimensional temporal mining in clinical data. - Shusaku Tsumoto; Shoji Hirano (IHI, 2012)

Incremental Rules Induction Method Based on Three Rule Layers. - Shusaku Tsumoto; Shoji Hirano (ISMIS, 2012)

Incremental Rules Induction Based on Rule Layers. - Shusaku Tsumoto; Shoji Hirano (RSKT, 2012)

Trajectories mining in hospital information systems. - Shusaku Tsumoto; Shoji Hirano (SMC, 2012)

Information granules in medical differential diagnosis. - Shusaku Tsumoto; Shoji Hirano (SMC, 2012)

Data-oriented maintenance of clinical pathway using clustering and multidimensional scaling. - Shusaku Tsumoto; Shoji Hirano; Haruko Iwata (SMC, 2012)

Characterizing Hospital Services Using Temporal Data Mining. - Shusaku Tsumoto; Shoji Hirano; Haruko Iwata; Yuko Tsumoto (SRII Global Conference, 2012)

Granularity-based mining for construction of nursing care plan. - Shusaku Tsumoto; Shoji Hirano; Haruko Iwata (ICCI*CC, 2013)

Mining nursing care plan from data extracted from hospital information system. - Shusaku Tsumoto; Shoji Hirano; Haruko Iwata (ASONAM, 2013)

Cluster analysis of treatment processes based on the typicalness measure for building clinical pathways. - Shoji Hirano; Shusaku Tsumoto (BIBM, 2013)

Granularity-based temporal data mining in hospital information system. - Shusaku Tsumoto; Shoji Hirano; Haruko Iwata (IEEE BigData, 2013)

Mining Clinical Pathway Based on Clustering and Feature Selection. - Haruko Iwata; Shoji Hirano; Shusaku Tsumoto (Brain and Health Informatics, 2013)

Incremental Induction of Medical Diagnostic Rules. - Shusaku Tsumoto; Shoji Hirano (Brain and Health Informatics, 2013)

Clinical schedule management based on granularity-based mining. - Haruko Iwata; Shusaku Tsumoto; Shoji Hirano (CYBCONF, 2013)

Evaluation of set-based indices based on incremental sampling framework. - Shusaku Tsumoto; Shoji Hirano (FUZZ-IEEE, 2013)

Algebraic analysis of statistical dependence. - Shusaku Tsumoto; Shoji Hirano (GrC, 2013)

Data mining based clinical care plan construction. - Haruko Iwata; Shusaku Tsumoto; Shoji Hirano (iCAST/UMEDIA, 2013)

Clustering of Order Sequences Based on the Typicalness Index for Finding Clinical Pathway Candidates. - Shoji Hirano; Shusaku Tsumoto (ICDM Workshops, 2013)

Clinical Schedule Management Using Similarity-Based Mining Methods. - Haruko Iwata; Shusaku Tsumoto; Shoji Hirano (ICHI, 2013)

Data-Oriented Maintenance of Schedule Management of Nursing Care. - Shusaku Tsumoto; Shoji Hirano; Haruko Iwata (ICServ, 2013)

Evaluation of Incremental Change of Set-Based Indices. - Shusaku Tsumoto; Shoji Hirano (RSKT, 2013)

Mining Clinical Pathway Candidates from Order History Based on the Clustering of Order Sequences. - Shoji Hirano; Shusaku Tsumoto (SMC, 2013)

Incremental Induction of Probabilistic Rules Based on Incremental Sampling Scheme. - Shusaku Tsumoto; Shoji Hirano (SMC, 2013)

Mining Clinical Pathway Using Clustering and Rule Induction. - Shusaku Tsumoto; Shoji Hirano; Haruko Iwata (SMC, 2013)

Incremental Induction of Medical Diagnostic Rules Based on Incremental Sampling Scheme and SubRule Layers. - Shusaku Tsumoto; Shoji Hirano (Fundam. Informaticae, 2013)

Combinatorics of Information Granule in Contingency Table. - Shusaku Tsumoto; Shoji Hirano (Int. J. Intell. Syst., 2013)

Combinatorics in Pearson residuals. - Shusaku Tsumoto; Shoji Hirano (Int. J. Knowl. Eng. Soft Data Paradigms, 2013)

Clustering of non-metric proximity data based on bi-links with ϵ-indiscernibility. - Shoji Hirano; Shusaku Tsumoto (J. Intell. Inf. Syst., 2013)

Incremental rule induction based on updates of statistical indices. - Shusaku Tsumoto; Shoji Hirano (ICCI*CC, 2014)

Formal analysis of cross-validation for rule induction using probabilistic indices. - Shusaku Tsumoto; Shoji Hirano (ICCI*CC, 2014)

Formal analysis of cross-validation based on decremental sampling scheme. - Shusaku Tsumoto; Shoji Hirano (GrC, 2014)

Probabilistic rule induction based on incremental sampling scheme. - Shusaku Tsumoto; Shoji Hirano (GrC, 2014)

Healthcare IT: Integration of consumer healthcare data and electronic medical records for chronic disease management. - Shusaku Tsumoto; Shoji Hirano (GrC, 2014)

Visualization of Patient Distributions in a Hospital Based on the Clinical Actions Stored in EHR. - Shoji Hirano; Shusaku Tsumoto (ICDM Workshops, 2014)

Construction of Clinical Pathway based on Similarity-based Mining in Hospital Information System. - Haruko Iwata; Shoji Hirano; Shusaku Tsumoto (ITQM, 2014)

Mining Typical Order Sequences from EHR for Building Clinical Pathways. - Shoji Hirano; Shusaku Tsumoto (PAKDD Workshops, 2014)

Evaluation of Leave-One Out Method Based on Incremental Sampling Scheme. - Shusaku Tsumoto; Shoji Hirano (RSEISP, 2014)

Visualizing dynamics of patients in hospitals using devise locations. - Shoji Hirano; Shusaku Tsumoto (SMC, 2014)

Formal analysis of leave-one out method based on decremental sampling scheme. - Shusaku Tsumoto; Shoji Hirano (SMC, 2014)

Homological analysis of statistical dependence. - Shusaku Tsumoto; Shoji Hirano (SMC, 2014)

Towards Data-Oriented Schedule Management in Hospital. - Shusaku Tsumoto; Shoji Hirano; Haruko Iwata (SRII Global Conference, 2014)

Formal Analysis of Leave-One-Out Methods Based on Decremental Sampling Scheme. - Shusaku Tsumoto; Shoji Hirano (WI-IAT (1), 2014)

Formal Analysis of Statistical Dependence Based Homological Algebra. - Shusaku Tsumoto; Shoji Hirano (WI-IAT (1), 2014)

Similarity-based behavior and process mining of medical practices. - Shusaku Tsumoto; Haruko Iwata; Shoji Hirano; Yuko Tsumoto (Future Gener. Comput. Syst., 2014)

Mining probabilistic rules using nonmonotonic rule layers. - Shusaku Tsumoto; Shoji Hirano (ICCI*CC, 2015)

Analytics for Hospital Management. - Shusaku Tsumoto; Shoji Hirano (ASE BD&SI, 2015)

Dual Clustering and Data Decomposition for Nursing Care Management. - Shusaku Tsumoto; Shoji Hirano; Haruko Iwata (ASE BD&SI, 2015)

Granular formalization of medical diagnostic process. - Shusaku Tsumoto; Shoji Hirano (IEEE BigData, 2015)

Data decomposition and dual clustering for clinical care management. - Shusaku Tsumoto; Shoji Hirano; Haruko Iwata (IEEE BigData, 2015)

Rule Mining Based on Nonmonotonic Rule Layers and Its Application to Medicine. - Shusaku Tsumoto; Shoji Hirano (ICDM Workshops, 2015)

Statistical Estimation of Software Quality in Hospital Information System. - Shusaku Tsumoto; Shoji Hirano; Toshihiko Kawamura (ICServ, 2015)

Layered Rule Induction. - Shusaku Tsumoto; Shoji Hirano (ITQM, 2015)

Mining Schedule of Nursing Care Based on Dual-Clustering. - Shusaku Tsumoto; Shoji Hirano; Haruko Iwata (ITQM, 2015)

Formalization of Medical Diagnostic Rules. - Shusaku Tsumoto; Shoji Hirano (RSFDGrC, 2015)

Maintenance and Discovery of Domain Knowledge for Nursing Care using Data in Hospital Information System. - Haruko Iwata; Shoji Hirano; Shusaku Tsumoto (Fundam. Informaticae, 2015)

Active mining process for software quality estimation. - Shusaku Tsumoto; Shoji Hirano (ICCI*CC, 2016)

Construction of linguistic variables based on rule induction and concept hierarchy. - Shusaku Tsumoto; Shoji Hirano (ICCI*CC, 2016)

Construction of clinical pathway from histories of clinical actions in hospital information system. - Shusaku Tsumoto; Shoji Hirano; Haruko Iwata (IEEE BigData, 2016)

Mining process for improvement of clinical process quality. - Shusaku Tsumoto; Shoji Hirano; Haruko Iwata; Norio Yoshimoto; Tomohiro Kimura (IEEE BigData, 2016)

Incremental Updates of Rough Set-Based Probabilistic Rules. - Shusaku Tsumoto; Shoji Hirano (CMCSN, 2016)

Temporal Data Mining on the Stay Time of Outpatients and Treatment Processes. - Shoji Hirano (ICDM Workshops, 2016)

Dual Clustering for Clinical Care Construction. - Haruko Iwata; Shusaku Tsumoto; Shoji Hirano (ICHI, 2016)

On Behavior of Statistical Indices in Incremental Context. - Shusaku Tsumoto; Shoji Hirano (IJCRS, 2016)

Linguistic Variables Construction in Information Table. - Shusaku Tsumoto; Shoji Hirano (IJCRS, 2016)

Construction of linguistic variables from data and domain knowledge. - Shusaku Tsumoto; Shoji Hirano (SMC, 2016)

Multidimensional temporal mining in hospital information system. - Shusaku Tsumoto; Shoji Hirano (Int. J. Comput. Intell. Stud., 2016)

Mining text for disease diagnosis in hospital information system. - Shusaku Tsumoto; Tomohiro Kimura; Haruko Iwata; Shoji Hirano (IEEE BigData, 2017)

Frequent Temporal Pattern Mining for Medical Data Based on Ranged Relations. - Shoji Hirano; Shusaku Tsumoto (ICDM Workshops, 2017)

Construction of Discharge Summaries Classifier. - Shusaku Tsumoto; Tomohiro Kimura; Haruko Iwata; Shoji Hirano (ICHI, 2017)

Discharge Summaries Classifier. - Shusaku Tsumoto; Tomohiro Kimura; Haruko Iwata; Shoji Hirano (IIH-MSP (2), 2017)

Mining Text for Disease Diagnosis. - Shusaku Tsumoto; Tomohiro Kimura; Haruko Iwata; Shoji Hirano (ITQM, 2017)

Induction of Rule for Differential Diagnosis. - Shusaku Tsumoto; Shoji Hirano (IJCRS (1), 2017)

From Hospital Big Data to Clinical Process: A Granular Computing Approach. - Shusaku Tsumoto; Shoji Hirano; Tomohiro Kimura; Haruko Iwata (IEEE BigData, 2018)

Construction of Clinical Pathway Generation from Nursing Records and Discharge Summaries. - Shusaku Tsumoto; Shoji Hirano; Tomohiro Kimura; Haruko Iwata (ICDM Workshops, 2018)

Empirical Comparison of Distances for Agglomerative Hierarchical Clustering. - Shusaku Tsumoto; Tomohiro Kimura; Haruko Iwata; Shoji Hirano (IPMU (2), 2018)

Clinical Pathway Generation from Hospital Information System. - Shusaku Tsumoto; Tomohiro Kimura; Haruko Iwata; Shoji Hirano (ITQM, 2018)

Clinical Pathway Generation Based on Hierarchical Clustering and EM Clustering. - Shusaku Tsumoto; Shoji Hirano; Tomohiro Kimura; Haruko Iwata (SMC, 2018)

Empirical Comparison of Similarities for Agglomerative Hierarchical Clustering. - Shusaku Tsumoto; Shoji Hirano; Tomohiro Kimura; Haruko Iwata (SMC, 2018)

Mining frequent temporal patterns from medical data based on fuzzy ranged relations. - Shoji Hirano; Shusaku Tsumoto (IEEE BigData, 2019)

Estimation of Disease Code from Electronic Patient Records. - Shusaku Tsumoto; Tomohiro Kimura; Haruko Iwata; Shoji Hirano (IEEE BigData, 2019)

Clinical Pathway Generation from Order Histories and Discharge Summaries. - Shoji Hirano; Haruko Iwata; Tomohiro Kimura; Shusaku Tsumoto (ICDM Workshops, 2019)

Granular Rules for Medical Diagnosis. - Shusaku Tsumoto; Shoji Hirano (IFSA/NAFIPS, 2019)

Automated Dual Clustering for Clinical Pathway Mining*. - Shusaku Tsumoto; Tomohiro Kimura; Shoji Hirano (IEEE BigData, 2020)

Order Trajectory Analysis in Hospital Information System*. - Shusaku Tsumoto; Tomohiro Kimura; Shoji Hirano (IEEE BigData, 2020)

From Texts to Classification Knowledge. - Shusaku Tsumoto; Tomohiro Kimura; Shoji Hirano (ICIS, 2020)

Mining in Discharge Summaries. - Shusaku Tsumoto; Tomohiro Kimura; Shoji Hirano (JSAI, 2020)

Comparison of Clustering Strategies using a Partition Tree. - Shusaku Tsumoto; Tomohiro Kimura; Shoji Hirano (IST, 2021)

Mining Clinical Process from Hospital Information System: A Granular Computing Approach. - Shusaku Tsumoto; Shoji Hirano; Tomohiro Kimura; Haruko Iwata (Fundam. Informaticae, 2021)

Determination of Disease from Discharge Summaries. - Shusaku Tsumoto; Tomohirno Kimura; Shoji Hirano (Rev. Socionetwork Strateg., 2021)

Mining Clinical Pathways Using Dual Clustering. - Shusaku Tsumoto; Tomohiro Kimura; Shoji Hirano (Rev. Socionetwork Strateg., 2021)

Similarity Analysis of Order Trajectory for Hospital Management. - Tomohiro Kimura; Shusaku Tsumoto; Shoji Hirano (IEEE Big Data, 2022)

Expectation-Maximization (EM) Clustering as a Preprocessing Method for Clinical Pathway Mining. - Shusaku Tsumoto; Tomohiro Kimura; Shoji Hirano (Rev. Socionetwork Strateg., 2022)

Order Trajectory Analysis for Monitoring Clinical Process. - Shusaku Tsumoto; Tomohiro Kimura; Shoji Hirano (Rev. Socionetwork Strateg., 2022)

Using Hospital Information System Data to Estimate Nursing Care Needs. - Hiroyuki Ikedo; Tomohiro Kimura; Shusaku Tsumoto; Shoji Hirano (IEEE Big Data, 2023)

Analysis of Medical Incident Reports using Text Mining*. - Tomohiro Kimura; Shusaku Tsumoto; Shoji Hirano (IEEE Big Data, 2023)

Toward the Implementation of the DPC Code Classification System in Hospital Information Systems. - Shusaku Tsumoto; Tomohiro Kimura; Shoji Hirano (IEEE Big Data, 2024)

Temporal Data Mining in AI-based Patient Navigation Service. - Shusaku Tsumoto; Tomohiro Kimura; Shoji Hirano; Katsutoshi Yada (ICDM (Workshops), 2024)