Abstract:Introduction:
Hydrogen sulfide (H2S) is a lethal environmental and industrial poison. The mortality rate of
occupational acute H2S poisoning reported in China is 23.1% ~ 50%. Due to the huge amount of information on
metabolomics changes after body poisoning, it is important to use intelligent algorithms to mine multivariate interactions.
Methods:
This paper first uses GC-MS metabolomics to detect changes in the urine components of the poisoned group and
control rats to form a metabolic data set, and then… Show more
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