Junko Kawakami

An Analysis of Thyroid Function Diagnosis Using Bayesian-Type and SOM-Type Neural Networks

Kenji Hoshi, Junko Kawakami, Mitiko Kumagai et al. · Chemical and Pharmaceutical Bulletin · 2005 · 38 citations · Full text

Engineering, Machine Learning, Neural Network +18

Application of a Self-Organizing Map to Quantitative Structure-Activity Relationship Analysis of Carboquinone and Benzodiazepine

Junko Kawakami, Kenji Hoshi, Akiko Ishiyama et al. · Chemical and Pharmaceutical Bulletin · 2004 · 19 citations · Full text

Engineering, Machine Learning, Pharmacotherapy +21

Assisting the diagnosis of Graves’ hyperthyroidism with pattern recognition methods and a set of three routine tests parameters, and their correlations with free T4 levels: Extension to male patients

Sorama Aoki, Kenji Hoshi, Junko Kawakami et al. · Biomedicine & Pharmacotherapy · 2010 · 12 citations

Assisting the Diagnosis of Thyroid Diseases with Bayesian-Type and SOM-Type Neural Networks Making Use of Routine Test Data

Kenji Hoshi, Junko Kawakami, Wataru Sato et al. · Chemical and Pharmaceutical Bulletin · 2006 · 11 citations · Full text

Engineering, Machine Learning, Intelligent Diagnostics +22