Effects of Food Contamination on Gastrointestinal Morbidity: Comparison of Different Machine-Learning Methods

Effects of Food Contamination on Gastrointestinal Morbidity: Comparison of Different Machine-Learning Methods

Morbidity prediction can be useful in improving the effectiveness and efficiency of medical services, but accurate morbidity prediction is often difficult because of the complex relationships between diseases and their influencing factors. This study investigates the effects of food contamination on...

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Bibliographic Details
Main Authors: Qin Song, Yu-Jun Zheng, Jun Yang
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:International Journal of Environmental Research and Public Health
Subjects:
food contamination
public health
gastrointestinal diseases
morbidity
deep neural networks
evolutionary learning
Online Access:http://www.mdpi.com/1660-4601/16/5/838

Internet

http://www.mdpi.com/1660-4601/16/5/838

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