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Journal of the Royal Statistical Society. Series C, Applied Statistics
|
October 9, 2018
Discussion of Laber et al. "Optimal treatment allocations in space and time for on-line control of an emerging infectious disease"
Michael T Lawson, Hunyong Cho, Arkopal Choudhury, et al.
IEEE Journal of Biomedical and Health Informatics
|
July 21, 2021
Sequence to Sequence ECG Cardiac Rhythm Classification Using Convolutional Recurrent Neural Networks
Teeranan Pokaprakarn, Rebecca R Kitzmiller, J Randall Moorman, et al.
International Journal of Gynaecology and Obstetrics: the Official Organ of the International Federation of Gynaecology and Obstetrics
|
January 8, 2024
Deep learning to estimate gestational age from fly-to cineloop videos: A novel approach to ultrasound quality control
Ambika V Viswanathan, Teeranan Pokaprakarn, Margaret P Kasaro, et al.
Contemporary Clinical Trials
|
April 23, 2022
Design of the Advancing Care for Type 1 Diabetes and Obesity Network energy metabolism and sequential multiple assignment randomized trial nutrition pilot studies: An integrated approach to develop weight management solutions for individuals with type 1 diabetes
Karen D Corbin, Daria Igudesman, Ananta Addala, et al.
Diabetes, Obesity & Metabolism
|
October 31, 2022
Weight management in young adults with type 1 diabetes: The advancing care for type 1 diabetes and obesity network sequential multiple assignment randomized trial pilot results
Daria Igudesman, Jamie Crandell, Karen D Corbin, et al.
Diabetes Care
|
November 3, 2021
The Impact of Racial and Ethnic Health Disparities in Diabetes Management on Clinical Outcomes: A Reinforcement Learning Analysis of Health Inequity Among Youth and Young Adults in the SEARCH for Diabetes in Youth Study
Anna R Kahkoska, Teeranan Pokaprakarn, G Rumay Alexander, et al.
NEJM Evidence
|
March 6, 2023
AI Estimation of Gestational Age from Blind Ultrasound Sweeps in Low-Resource Settings
Teeranan Pokaprakarn, Juan C Prieto, Joan T Price, et al.
JAMA
|
August 1, 2024
Diagnostic Accuracy of an Integrated AI Tool to Estimate Gestational Age From Blind Ultrasound Sweeps
Jeffrey S A Stringer, Teeranan Pokaprakarn, Juan C Prieto, et al.
Gates Open Research
|
January 16, 2023
Limiting adverse birth outcomes in resource-limited settings (LABOR): protocol of a prospective intrapartum cohort study
Amanda Adu-Amankwah, Mrutunjaya B Bellad, Aimee M Benson, et al.
Journal of Global Health
|
April 2, 2026
Multi-Omics for Mothers and Infants (MOMI) Consortium: a global initiative to study adverse pregnancy outcomes
Xin Tang, Salahuddin Ahmed, Farzana Bashir Ahmed, et al.
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Search research articles
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Showing results (1-10 of 10) with videos related to
Sort By:
Page
of 1
Journal of the Royal Statistical Society. Series C, Applied Statistics
|
October 9, 2018
Discussion of Laber et al. "Optimal treatment allocations in space and time for on-line control of an emerging infectious disease"
Michael T Lawson, Hunyong Cho, Arkopal Choudhury, et al.
IEEE Journal of Biomedical and Health Informatics
|
July 21, 2021
Sequence to Sequence ECG Cardiac Rhythm Classification Using Convolutional Recurrent Neural Networks
Teeranan Pokaprakarn, Rebecca R Kitzmiller, J Randall Moorman, et al.
International Journal of Gynaecology and Obstetrics: the Official Organ of the International Federation of Gynaecology and Obstetrics
|
January 8, 2024
Deep learning to estimate gestational age from fly-to cineloop videos: A novel approach to ultrasound quality control
Ambika V Viswanathan, Teeranan Pokaprakarn, Margaret P Kasaro, et al.
Contemporary Clinical Trials
|
April 23, 2022
Design of the Advancing Care for Type 1 Diabetes and Obesity Network energy metabolism and sequential multiple assignment randomized trial nutrition pilot studies: An integrated approach to develop weight management solutions for individuals with type 1 diabetes
Karen D Corbin, Daria Igudesman, Ananta Addala, et al.
Diabetes, Obesity & Metabolism
|
October 31, 2022
Weight management in young adults with type 1 diabetes: The advancing care for type 1 diabetes and obesity network sequential multiple assignment randomized trial pilot results
Daria Igudesman, Jamie Crandell, Karen D Corbin, et al.
Diabetes Care
|
November 3, 2021
The Impact of Racial and Ethnic Health Disparities in Diabetes Management on Clinical Outcomes: A Reinforcement Learning Analysis of Health Inequity Among Youth and Young Adults in the SEARCH for Diabetes in Youth Study
Anna R Kahkoska, Teeranan Pokaprakarn, G Rumay Alexander, et al.
NEJM Evidence
|
March 6, 2023
AI Estimation of Gestational Age from Blind Ultrasound Sweeps in Low-Resource Settings
Teeranan Pokaprakarn, Juan C Prieto, Joan T Price, et al.
JAMA
|
August 1, 2024
Diagnostic Accuracy of an Integrated AI Tool to Estimate Gestational Age From Blind Ultrasound Sweeps
Jeffrey S A Stringer, Teeranan Pokaprakarn, Juan C Prieto, et al.
Gates Open Research
|
January 16, 2023
Limiting adverse birth outcomes in resource-limited settings (LABOR): protocol of a prospective intrapartum cohort study
Amanda Adu-Amankwah, Mrutunjaya B Bellad, Aimee M Benson, et al.
Journal of Global Health
|
April 2, 2026
Multi-Omics for Mothers and Infants (MOMI) Consortium: a global initiative to study adverse pregnancy outcomes
Xin Tang, Salahuddin Ahmed, Farzana Bashir Ahmed, et al.
Page
of 1