Corzo-Gómez, J.; Guzmán-Aquino, S.; Vargas-De-León, C.; Megchún-Hernández, M.; Briones-Aranda, A.
Bayesian Analysis Used to Identify Clinical and Laboratory Variables Capable of Predicting Progression to Severe Dengue among Infected Pediatric Patients. Children 2023, 10, 1508.
https://doi.org/10.3390/children10091508
AMA Style
Corzo-Gómez J, Guzmán-Aquino S, Vargas-De-León C, Megchún-Hernández M, Briones-Aranda A.
Bayesian Analysis Used to Identify Clinical and Laboratory Variables Capable of Predicting Progression to Severe Dengue among Infected Pediatric Patients. Children. 2023; 10(9):1508.
https://doi.org/10.3390/children10091508
Chicago/Turabian Style
Corzo-Gómez, Josselin, Susana Guzmán-Aquino, Cruz Vargas-De-León, Mauricio Megchún-Hernández, and Alfredo Briones-Aranda.
2023. "Bayesian Analysis Used to Identify Clinical and Laboratory Variables Capable of Predicting Progression to Severe Dengue among Infected Pediatric Patients" Children 10, no. 9: 1508.
https://doi.org/10.3390/children10091508
APA Style
Corzo-Gómez, J., Guzmán-Aquino, S., Vargas-De-León, C., Megchún-Hernández, M., & Briones-Aranda, A.
(2023). Bayesian Analysis Used to Identify Clinical and Laboratory Variables Capable of Predicting Progression to Severe Dengue among Infected Pediatric Patients. Children, 10(9), 1508.
https://doi.org/10.3390/children10091508
