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Tom Velez

Showing results (1-10 of 11) with videos related to

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Military Medicine|July 18, 2020
Contact Lens Wear, Corneal Complications, and U.S. Service Member ReadinessGerald Flanagan, Tom Velez, Weidong Gu, et al.
Military Medicine|July 7, 2020
The Relationship Between Severe Visual Acuity Loss, Traumatic Brain Injuries, and Ocular Injuries in American Service Members From 2001 to 2015Gerald Flanagan, Tom Velez, Weidong Gu, et al.
JMIR Formative Research|August 29, 2023
Identification and Prediction of Clinical Phenotypes in Hospitalized Patients With COVID-19: Machine Learning From Medical RecordsTom Velez, Tony Wang, Brian Garibaldi, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|June 2, 2018
Open Globe Injury Patient Identification in Warfare Clinical NotesEmilia Apostolova, Helen A White, Patty A Morris, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|April 21, 2020
Towards Reliable ARDS Clinical Decision Support: ARDS Patient Analytics with Free-text and Structured EMR DataEmilia Apostolova, Amit Uppal, Jessica E Galarraga, et al.
Pediatric Emergency Care|July 1, 2025
Harnessing AI for Improved Diagnosis and Management of Pediatric Sepsis: Current Advances, Challenges, and Future DirectionsPavlos Siolos, Saif Pasha, Maria Triantafyllou, et al.
Journal of the American College of Emergency Physicians Open|February 3, 2022
Pediatric sepsis phenotypes for enhanced therapeutics: An application of clustering to electronic health recordsIoannis Koutroulis, Tom Velez, Tony Wang, et al.
International Journal of Medical Informatics|April 9, 2025
Predicting hospital admissions, ICU utilization, and prolonged length of stay among febrile pediatric emergency department patients using incomplete and imbalanced electronic health record (EHR) data strategiesTom Velez, Zara Ibrahim, Kanayo Duru, et al.
Pediatric Research|December 12, 2025
Early prediction of antibiotic need and bacteremia risk in non-immunocompromised pediatric emergency patients using machine learningTom Velez, Oluwakemi Badaki-Makun, Danielle Hirsch, et al.
International Journal of Infectious Diseases : IJID : Official Publication of the International Society for Infectious Diseases|June 18, 2026
Mortality Risk Prediction from Dense PICU Data from Patients with Suspected Infection: Data-Derived Physiological Trajectories Outperform Expert Assessments When Temporal Resolution Is HighTom Velez, Oluwakemi Badaki-Makun, Danielle Hirsch, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Military Medicine|July 18, 2020
Contact Lens Wear, Corneal Complications, and U.S. Service Member ReadinessGerald Flanagan, Tom Velez, Weidong Gu, et al.
Military Medicine|July 7, 2020
The Relationship Between Severe Visual Acuity Loss, Traumatic Brain Injuries, and Ocular Injuries in American Service Members From 2001 to 2015Gerald Flanagan, Tom Velez, Weidong Gu, et al.
JMIR Formative Research|August 29, 2023
Identification and Prediction of Clinical Phenotypes in Hospitalized Patients With COVID-19: Machine Learning From Medical RecordsTom Velez, Tony Wang, Brian Garibaldi, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|June 2, 2018
Open Globe Injury Patient Identification in Warfare Clinical NotesEmilia Apostolova, Helen A White, Patty A Morris, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|April 21, 2020
Towards Reliable ARDS Clinical Decision Support: ARDS Patient Analytics with Free-text and Structured EMR DataEmilia Apostolova, Amit Uppal, Jessica E Galarraga, et al.
Pediatric Emergency Care|July 1, 2025
Harnessing AI for Improved Diagnosis and Management of Pediatric Sepsis: Current Advances, Challenges, and Future DirectionsPavlos Siolos, Saif Pasha, Maria Triantafyllou, et al.
Journal of the American College of Emergency Physicians Open|February 3, 2022
Pediatric sepsis phenotypes for enhanced therapeutics: An application of clustering to electronic health recordsIoannis Koutroulis, Tom Velez, Tony Wang, et al.
International Journal of Medical Informatics|April 9, 2025
Predicting hospital admissions, ICU utilization, and prolonged length of stay among febrile pediatric emergency department patients using incomplete and imbalanced electronic health record (EHR) data strategiesTom Velez, Zara Ibrahim, Kanayo Duru, et al.
Pediatric Research|December 12, 2025
Early prediction of antibiotic need and bacteremia risk in non-immunocompromised pediatric emergency patients using machine learningTom Velez, Oluwakemi Badaki-Makun, Danielle Hirsch, et al.
International Journal of Infectious Diseases : IJID : Official Publication of the International Society for Infectious Diseases|June 18, 2026
Mortality Risk Prediction from Dense PICU Data from Patients with Suspected Infection: Data-Derived Physiological Trajectories Outperform Expert Assessments When Temporal Resolution Is HighTom Velez, Oluwakemi Badaki-Makun, Danielle Hirsch, et al.
Pageof 2