An 8-gene machine learning model improves clinical prediction of severe dengue progression

An 8-gene machine learning model improves clinical prediction of severe dengue progression

Abstract 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...

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Bibliographic Details
Main Authors: Yiran E. Liu, Sirle Saul, Aditya Manohar Rao, Makeda Lucretia Robinson, Olga Lucia Agudelo Rojas, Ana Maria Sanz, Michelle Verghese, Daniel Solis, Mamdouh Sibai, Chun Hong Huang, Malaya Kumar Sahoo, Rosa Margarita Gelvez, Nathalia Bueno, Maria Isabel Estupiñan Cardenas, Luis Angel Villar Centeno, Elsa Marina Rojas Garrido, Fernando Rosso, Michele Donato, Benjamin A. Pinsky, Shirit Einav, Purvesh Khatri
Format: Article
Language:English
Published: BMC 2022-03-01
Series:Genome Medicine
Subjects:
Dengue
Severe dengue
Prognostic
Biomarkers
Machine learning
Gene signature
Online Access:https://doi.org/10.1186/s13073-022-01034-w

Internet

https://doi.org/10.1186/s13073-022-01034-w

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