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An 8-gene machine learning model improves clinical prediction of severe dengue progression
BACKGROUND: Each year 3–6 million people develop life-threatening severe dengue (SD). Clinical warning signs for SD manifest late in the disease course and are nonspecific, leading to missed cases and excess hospital burden. Better SD prognostics are urgently needed. METHODS: We integrated 11 public...
Autores principales: | Liu, Yiran E., Saul, Sirle, Rao, Aditya Manohar, Robinson, Makeda Lucretia, Agudelo Rojas, Olga Lucia, Sanz, Ana Maria, Verghese, Michelle, Solis, Daniel, Sibai, Mamdouh, Huang, Chun Hong, Sahoo, Malaya Kumar, Gelvez, Rosa Margarita, Bueno, Nathalia, Estupiñan Cardenas, Maria Isabel, Villar Centeno, Luis Angel, Rojas Garrido, Elsa Marina, Rosso, Fernando, Donato, Michele, Pinsky, Benjamin A., Einav, Shirit, Khatri, Purvesh |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8959795/ https://www.ncbi.nlm.nih.gov/pubmed/35346346 http://dx.doi.org/10.1186/s13073-022-01034-w |
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