Article
Improving methylmalonic acidemia (MMA) screening and MMA genotype prediction using random forest classifier in two Chinese populations.
European journal of medical research - 10 Nov 2024
Yin Zhe, Zhang Chuan, Dong Rui, Zhang Xinyuan, Song Yingnan, Hao Shengju, Gai Zhongtao, Zhou Bingbo, Hui Ling, Wang Shifan, Xue Huiqin, Cao Zongfu, Liu Yi, Ma Xu
Abstract excerpt
BACKGROUND: Methylmalonic acidemia (MMA) is one of the most common hereditary organic acid metabolism disorders that endangers the lives and health of infants and children. Early detection and intervention before the appearance of a newborn's clinical symptoms can control disease progression and prevent or mitigate its serious consequences. METHODS: 42,004 newborns from two Chinese populations were included in...
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