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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...
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| 出版年: | Sci Rep |
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| 主要な著者: | , , , , , , , , , , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Nature Publishing Group UK
2017
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| 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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