Machine Learning Algorithms for Risk Prediction of Severe Hand-Foot-Mouth Disease in Children

The identification of indicators for severe HFMD is critical for early prevention and control of the disease. With this goal in mind, 185 severe and 345 mild HFMD cases were assessed. Patient demographics, clinical features, MRI findings, and laboratory test results were collected. Gradient boosting...

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שמור ב:
מידע ביבליוגרפי
הוצא לאור ב:Sci Rep
Main Authors: Zhang, Bin, Wan, Xiang, Ouyang, Fu-sheng, Dong, Yu-hao, Luo, De-hui, Liu, Jing, Liang, Long, Chen, Wen-bo, Luo, Xiao-ning, Mo, Xiao-kai, Zhang, Lu, Huang, Wen-hui, Pei, Shu-fang, Guo, Bao-liang, Liang, Chang-hong, Lian, Zhou-yang, Zhang, Shui-xing
פורמט: Artigo
שפה:Inglês
יצא לאור: Nature Publishing Group UK 2017
נושאים:
Article
גישה מקוונת:https://ncbi.nlm.nih.gov/pmc/articles/PMC5511270/
https://ncbi.nlm.nih.gov/pubmed/28710409
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-017-05505-8
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