An Effective Machine Learning Approach for Identifying the Glyphosate Poisoning Status in Rats Using Blood Routine Test

An Effective Machine Learning Approach for Identifying the Glyphosate Poisoning Status in Rats Using Blood Routine Test

Glyphosate, one of the most popular herbicides world-wide, is used as an active ingredient in many commercial formulations. So far, many studies have focused on reproductive toxicity on glyphosate which may trigger epigenetic changes through endocrine-mediated mechanisms. Generally, it is critical t...

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Bibliographic Details
Main Authors: Jiayin Zhu, Xuehua Zhao, Huaizhong Li, Huiling Chen, Gang Wu
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Machine learning
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feature selection
glyphosate poisoning status identification
Online Access:https://ieeexplore.ieee.org/document/8302899/

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https://ieeexplore.ieee.org/document/8302899/

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