Assessing the risk of dengue severity using demographic information and laboratory test results with machine learning.

• Главные авторы: Sheng-Wen Huang (Автор), Huey-Pin Tsai (Автор), Su-Jhen Hung (Автор), Wen-Chien Ko (Автор), Jen-Ren Wang (Автор)
• Формат: ‌
• Опубликовано: Public Library of Science (PLoS), 2020-12-01T00:00:00Z.
• Предметы: article
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<h4>Background</h4>Dengue virus causes a wide spectrum of disease, which ranges from subclinical disease to severe dengue shock syndrome. However, estimating the risk of severe outcomes using clinical presentation or laboratory test results for rapid patient triage remains a challenge. H...