Assisting the Diagnosis of Thyroid Diseases with Bayesian-Type and SOM-Type Neural Networks Making Use of Routine Test Data-Reference-Cited by-同舟云学术

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

Published:2006 Issue:8 Volume:54 Page:1162-1169
ISSN:0009-2363
Container-title:Chemical and Pharmaceutical Bulletin
language:en
Short-container-title:CHEMICAL & PHARMACEUTICAL BULLETIN

Author:

Hoshi Kenji¹,Kawakami Junko¹,Sato Wataru¹,Sato Kenichi¹,Sugawara Akira²,Saito Yoshihiko³,Yoshida Katsumi⁴

Affiliation:

1. Information Science Center, Tohoku Pharmaceutical University

2. Department of Comprehensive Medicine, Tohoku University Graduate School of Medicine

3. Department of Clinical Laboratory, Tohoku University Hospital

4. Department of Medical Technology, Tohoku University School of Health Sciences

Publisher

Pharmaceutical Society of Japan

Subject

Drug Discovery,General Chemistry,General Medicine

Link

http://www.jstage.jst.go.jp/article/cpb/54/8/54_8_1162/_pdf

Reference25 articles.

1. 1) Ichikawa H., “Kaisougata Nyuraru Nettowa-ku,” Kyouritsu Co., Tokyo, 1993.

2. Genetic Neural Networks for Quantitative Structure−Activity Relationships: Improvements and Application of Benzodiazepine Affinity for Benzodiazepine/GABAA Receptors

3. An Improvement of Neural Networks Applied to Pharmaceutical Problems.

4. 4) Bishop C. M., “Neural Networks for Pattern Recognition,” Oxford University Press, Oxford, 1995.

5. Probable networks and plausible predictions — a review of practical Bayesian methods for supervised neural networks

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