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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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5511270/
https://www.ncbi.nlm.nih.gov/pubmed/28710409
http://dx.doi.org/10.1038/s41598-017-05505-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5511270/
https://www.ncbi.nlm.nih.gov/pubmed/28710409
http://dx.doi.org/10.1038/s41598-017-05505-8

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