William Caicedo-Torres

ISeeU2: Visually interpretable mortality prediction inside the ICU using deep learning and free-text medical notes

Jairo Gutiérrez, William Caicedo-Torres, 2022, Expert Syst. Appl..

Kernel-Based Machine Learning Models for the Prediction of Dengue and Chikungunya Morbidity in Colombia

William Caicedo-Torres, Diana Montes-Grajales, Wendy Miranda-Castro, 2017 .

In silico drug repurposing for the identification of potential candidate molecules against arboviruses infection.

E. Harris, William Caicedo-Torres, E. Martínez-Romero, 2019, Antiviral research.

Features of Dengue and Chikungunya Infections of Colombian Children under 24 Months of Age Admitted to the Emergency Department

Dagna Constenla, Salim Mattar, William Caicedo-Torres, 2018, Journal of tropical pediatrics.

ISeeU2: Visually Interpretable ICU mortality prediction using deep learning and free-text medical notes pdf

Jairo Gutierrez, William Caicedo-Torres, Jairo Gutiérrez, 2020, ArXiv.

Machine Learning Models for Early Dengue Severity Prediction

William Caicedo-Torres, Ángel Paternina, Hernando Pinzón, 2016, IBERAMIA.

Early Prediction of Severe Maternal Morbidity Using Machine Learning Techniques

Juan Carlos Martínez Santos, William Caicedo-Torres, Eugenia Arrieta Rodríguez, 2016, IBERAMIA.

ISeeU: Visually interpretable deep learning for mortality prediction inside the ICU

Jairo A. Gutiérrez, William Caicedo-Torres, Jairo Gutiérrez, 2019, J. Biomed. Informatics.

A Machine Learning Model for Triage in Lean Pediatric Emergency Departments

William Caicedo-Torres, Hernando Pinzón, Gisela García, 2016, IBERAMIA.