Evaluation of multinomial logistic regression models for predicting causative pathogens of food poisoning cases-Reference-Cited by-同舟云学术

Evaluation of multinomial logistic regression models for predicting causative pathogens of food poisoning cases

Published:2018 Issue:8 Volume:80 Page:1223-1227
ISSN:0916-7250
Container-title:Journal of Veterinary Medical Science
language:en
Short-container-title:The Journal of Veterinary Medical Science

Author:

INOUE Hideya¹²,SUZUKI Tomoyuki²,HYODO Masashi³,MIYAKE Masami¹

Affiliation:

1. Department of Veterinary Science, Graduate School of Life and Environmental Sciences, Osaka Prefecture University, Izumisano, Osaka 598-8531, Japan

2. Shiga Prefectural Institute of Public Health, 13-45 Gotenhama, Otsu, Shiga 520-0834, Japan

3. Department of Mathematical Sciences, Graduate School of Engineering, Osaka Prefecture University, Sakai, Osaka 599-8531, Japan

Publisher

Japanese Society of Veterinary Science

Subject

General Veterinary

Link

https://www.jstage.jst.go.jp/article/jvms/80/8/80_17-0653/_pdf

Reference19 articles.

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3. 3. European Food Safety Authority and European Centre for Disease Prevention and Control 2015. The European Union summary report on trends and sources of zoonoses, zoonotic agents and food-borne outbreaks in 2013. EFSA J. 13: 3991.

4. 4. Foley, R. W., Shirazi, S., Maweni, R. M., Walsh, K., McConn Walsh, R., Javadpour, M. and Rawluk, D. 2017. Signs and symptoms of acoustic neuroma at initial presentation: an exploratory analysis. Cureus 9: e1846.

5. 5. Giorgi Rossi, P., Faustini, A., Perucci, C. A., Regional Foodborne Disease Surveillance Group 2003. Validation of guidelines for investigating foodborne disease outbreaks: the experience of the Lazio region, Italy. J. Food Prot. 66: 2343–2348.

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