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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...

詳細記述

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書誌詳細
出版年:Sci Rep
主要な著者: 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
フォーマット: Artigo
言語:Inglês
出版事項: Nature Publishing Group UK 2017
主題:
オンライン・アクセス: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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