接收机工作特性
梯度升压
基因
随机森林
医学
人工智能
内科学
生物
计算机科学
遗传学
作者
Zhelan Huang,Bo Liu,Tiantian Xiao,Yaqiong Wang,Yulan Lu,Liyuan Hu,Guoqiang Cheng,Zhihua Li,Laishuan Wang,Rong Zhang,Jin Wang,Yun Cao,Xinran Dong,Lin Yang,Wenhao Zhou
出处
期刊:Neonatology
[Karger Publishers]
日期:2023-12-01
卷期号:121 (2): 178-186
被引量:2
摘要
In our study, functional/structural features and variant pathogenicity have higher feature importance compared with clinical information. This prediction model for the neurodevelopmental outcomes of newborns with seizures caused by KCNQ2 gene defects is a promising alternative that could prove to be valuable in clinical practice.
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