An 8-gene machine learning model improves clinical prediction of severe dengue progression
Abstract
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.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Mar 29, 2022
- Source ID
- 10.1186/s13073-022-01034-w
Entities
People
- Aditya Manohar Rao
- Ana Maria Sanz
- Benjamin Pinsky
- Chun Hong Huang
- Daniel Solis
- Elsa Marina Rojas Garrido
- Fernando Rosso
- Luis Angel Villar Centeno
- Makeda Lucretia Robinson
- Malaya Kumar Sahoo
- Mamdouh Sibai
- Maria Isabel Estupiñan Cardenas
- Michele Donato
- Michelle Verghese
- Nathalia Bueno
- Olga Lucia Agudelo Rojas
- Purvesh Khatri
- Rosa Margarita Gelvez
- Shirit Einav
- Sirle Saul
- Yiran E. Liu
Organizations
- Dr. Ralph and Marian Falk Medical Research Trust
- Gates Foundation
- National Institute of Allergy and Infectious Diseases
- United States Department of Defense