Automated extraction of medical expert system rules from clinical databases based on rough set theory S Tsumoto Information sciences 112 (1-4), 67-84, 1998 | 373 | 1998 |
Rough set methods and applications: new developments in knowledge discovery in information systems L Polkowski, S Tsumoto, TY Lin Physica, 2012 | 308 | 2012 |
Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics): Preface M Abe, K Aoki, G Ateniese, R Avanzi, Z Beerliová, O Billet, A Biryukov, ... Lecture Notes in Computer Science (including subseries Lecture Notes in …, 2006 | 263* | 2006 |
Mining diagnostic rules from clinical databases using rough sets and medical diagnostic model S Tsumoto Information sciences 162 (2), 65-80, 2004 | 225 | 2004 |
Knowledge discovery in clinical databases and evaluation of discovered knowledge in outpatient clinic S Tsumoto Information sciences 124 (1-4), 125-137, 2000 | 161 | 2000 |
Rough set theory and granular computing S Hirano, S Tsumoto Springer, 2003 | 143 | 2003 |
Automated Discovery of Medical Expert System Rules from Clinical Databases Based on Rough Sets. S Tsumoto, H Tanaka KDD, 63-69, 1996 | 120 | 1996 |
Automated discovery of positive and negative knowledge in clinical databases S Tsumoto IEEE Engineering in Medicine and Biology Magazine 19 (4), 56-62, 2000 | 115 | 2000 |
PRIMEROSE: probabilistic rule induction method based on rough sets and resampling methods S Tsumoto, H Tanaka Computational Intelligence 11 (2), 389-405, 1995 | 108 | 1995 |
Modelling medical diagnostic rules based on rough sets S Tsumoto International conference on rough sets and current trends in computing, 475-482, 1998 | 106 | 1998 |
Extraction of experts' decision rules from clinical databases using rough set model S Tsumoto Intelligent Data Analysis 2 (3), 215-227, 1998 | 98 | 1998 |
Risk mining in medicine: Application of data mining to medical risk management S Tsumoto, S Hirano Fundamenta Informaticae 98 (1), 107-121, 2010 | 96 | 2010 |
Comparison of clustering methods for clinical databases S Hirano, X Sun, S Tsumoto Information Sciences 159 (3-4), 155-165, 2004 | 90 | 2004 |
Automated extraction of hierarchical decision rules from clinical databases using rough set model S Tsumoto Expert systems with Applications 24 (2), 189-197, 2003 | 86 | 2003 |
Evaluation of rule interestingness measures in medical knowledge discovery in databases M Ohsaki, H Abe, S Tsumoto, H Yokoi, T Yamaguchi Artificial Intelligence in Medicine 41 (3), 177-196, 2007 | 85 | 2007 |
A” Ubiquitous environment” through wireless voice/Data communication and a fully computerized hospital information system in a university hospital E Hanada, S Tsumoto, S Kobayashi IMIA/IFIP Joint Symposium on E-Health, 160-168, 2010 | 70 | 2010 |
An indiscernibility-based clustering method with iterative refinement of equivalence relations-rough clustering S Hirano, S Tsumoto Journal of Advanced Computational Intelligence and Intelligent Informatics 7 …, 2003 | 66* | 2003 |
Rough representation of a region of interest in medical images S Hirano, S Tsumoto International Journal of Approximate Reasoning 40 (1-2), 23-34, 2005 | 63 | 2005 |
Mining similar temporal patterns in long time-series data and its application to medicine S Hirano, S Tsumoto 2002 IEEE International Conference on Data Mining, 2002. Proceedings., 219-226, 2002 | 62 | 2002 |
Accuracy and coverage in rough set rule induction S Tsumoto Rough Sets and Current Trends in Computing: Third International Conference …, 2002 | 61 | 2002 |