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Katsumi Yoshida
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2010 – 2019
- 2015
- [c15]Sorama Aoki, Sono Nishizaka, Kenichi Sato, Kenji Hoshi, Junko Kawakami, Kouki Mori, Yoshinori Nakagawa, Wataru Hida, Katsumi Yoshida:
Predicting Thyrotoxicosis in Patients Using a Set of Routine Tests: Adding their Rate of Annual Time-Series Variations to Self-Organizing Map-Based Predictive Model Improves Diagnostic Accuracy. FedCSIS (Position Papers) 2015: 3-9
2000 – 2009
- 2007
- [c14]Machi Suka, Shinichi Oeda, Takumi Ichimura, Katsumi Yoshida, Jun Takezawa:
Advantages and Disadvantages of Neural Networks for Predicting Clinical Outcomes. IMECS 2007: 839-844 - 2006
- [j5]Katsumi Yoshida, Tomoko Niwa:
Quantitative Structure-Activity Relationship Studies on Inhibition of HERG Potassium Channels. J. Chem. Inf. Model. 46(3): 1371-1378 (2006) - 2005
- [j4]Akira Hara, Takumi Ichimura, Katsumi Yoshida:
Discovering Multiple Diagnostic Rules from Coronary Heart Disease Database using Automatically Defined Groups. J. Intell. Manuf. 16(6): 645-661 (2005) - [j3]Takumi Ichimura, Shinichi Oeda, Machi Suka, Katsumi Yoshida:
A learning method of immune multi-agent neural networks. Neural Comput. Appl. 14(2): 132-148 (2005) - [c13]Mitsuhiro Ogasawara, Hiroki Sugimori
, Yukiyasu Iida, Katsumi Yoshida:
Analysis Between Lifestyle, Family Medical History and Medical Abnormalities Using Data Mining Method - Association Rule Analysis. KES (2) 2005: 161-171 - [c12]Machi Suka, Katsumi Yoshida:
Barrier to Transition from Paper-Based to Computer-Based Patient Record: Analysis of Paper-Based Patient Records. KES (3) 2005: 1239-1245 - 2004
- [c11]Machi Suka, Takumi Ichimura, Katsumi Yoshida:
Development of Coronary Heart Disease Database. KES 2004: 1081-1088 - [c10]Shinichi Oeda, Takumi Ichimura, Katsumi Yoshida:
Immune Multi Agent Neural Network and Its Application to the Coronary Heart Disease Database. KES 2004: 1097-1105 - [c9]Machi Suka, Shinichi Oeda, Takumi Ichimura, Katsumi Yoshida, Jun Takezawa:
Comparison of Proportional Hazard Model and Neural Network Models in a real data set of intensive care unit patients. MedInfo 2004: 741-745 - 2003
- [c8]Takumi Ichimura, Shinichi Oeda, Machi Suka, Katsumi Yoshida:
A Classification Capability of Reflective Neural Networks in Medical Databases. KES 2003: 373-379 - [c7]Takumi Ichimura, Shinichi Oeda, Toshiyuki Yamashita, Katsumi Yoshida:
A Classification Method of Medical Database by Immune Multi-agent Neural Networks with Planar Lattice Architecture. KES 2003: 380-387 - [c6]Hiroki Sugimori
, Yukiyasu Iida, Machi Suka, Takumi Ichimura, Katsumi Yoshida:
Data Mining for Seeking Relationships between Sickness Absence and Japanese Worker's Profile. KES 2003: 410-416 - [c5]Machi Suka, Takumi Ichimura, Katsumi Yoshida:
Clinical Decision Support System Applied the Analytic Hierarchy Process. KES 2003: 417-423 - [c4]Shinichi Oeda, Takumi Ichimura, Toshiyuki Yamashita, Katsumi Yoshida:
A Proposal of Immune Multi-agent Neural Networks and Its Application to Medical Diagnostic System for Hepatobiliary Disorders. KES 2003: 526-532 - 2001
- [c3]Takumi Ichimura, Shinichi Oeda, Katsumi Yoshida:
An adaptive evolutional neuro learning method using genetic search and extraction of rules from trained networks. CEC 2001: 1343-1350 - [c2]Hiroki Sugimori, Shoichiro Hara, Katsumi Yoshida, Katsuhiko Furumi, Ikuo Tofukuji, Takeshi Kubodera, Takashi Yoda, Kawai Masaki:
Standard Protocol for Exchange of Health-checkups based on SGML: The Healthcheckups Data Markup Language (HDML). MedInfo 2001: 708 - 2000
- [j2]Yoichi Hayashi, Rudy Setiono, Katsumi Yoshida:
A comparison between two neural network rule extraction techniques for the diagnosis of hepatobiliary disorders. Artif. Intell. Medicine 20(3): 205-216 (2000) - [j1]Yoichi Hayashi, Rudy Setiono, Katsumi Yoshida:
Learning M-of-N Concepts for Medical Diagnosis Using Neural Networks. J. Adv. Comput. Intell. Intell. Informatics 4(4): 294-301 (2000)
1990 – 1999
- 1997
- [c1]Takumi Ichimura, Noboru Matsumoto, Eiichiro Tazaki, Katsumi Yoshida:
Extraction method of rules from reflective neural network architecture. ICNN 1997: 510-515
Coauthor Index
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