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...

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Detalles Bibliográficos
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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
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

Internet

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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