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Keith Morse

Showing results (11-20 of 15) with videos related to

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JAMA Network Open|September 16, 2021
Assessment of Prevalence of Adolescent Patient Portal Account Access by GuardiansWui Ip, Samuel Yang, Jacob Parker, et al.
Plos One|August 10, 2023
A machine learning-based phenotype for long COVID in children: An EHR-based study from the RECOVER programVitaly Lorman, Hanieh Razzaghi, Xing Song, et al.
Medrxiv : the Preprint Server for Health Sciences|January 4, 2023
A machine learning-based phenotype for long COVID in children: an EHR-based study from the RECOVER programVitaly Lorman, Hanieh Razzaghi, Xing Song, et al.
PLOS Digital Health|June 27, 2024
Systematic data quality assessment of electronic health record data to evaluate study-specific fitness: Report from the PRESERVE research studyHanieh Razzaghi, Amy Goodwin Davies, Samuel Boss, et al.
Nature Medicine|January 20, 2026
Holistic evaluation of large language models for medical tasks with MedHELMSuhana Bedi, Hejie Cui, Miguel Fuentes, et al.
Pageof 2

Showing results (11-20 of 15) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 15 results.
JAMA Network Open|September 16, 2021
Assessment of Prevalence of Adolescent Patient Portal Account Access by GuardiansWui Ip, Samuel Yang, Jacob Parker, et al.
Plos One|August 10, 2023
A machine learning-based phenotype for long COVID in children: An EHR-based study from the RECOVER programVitaly Lorman, Hanieh Razzaghi, Xing Song, et al.
Medrxiv : the Preprint Server for Health Sciences|January 4, 2023
A machine learning-based phenotype for long COVID in children: an EHR-based study from the RECOVER programVitaly Lorman, Hanieh Razzaghi, Xing Song, et al.
PLOS Digital Health|June 27, 2024
Systematic data quality assessment of electronic health record data to evaluate study-specific fitness: Report from the PRESERVE research studyHanieh Razzaghi, Amy Goodwin Davies, Samuel Boss, et al.
Nature Medicine|January 20, 2026
Holistic evaluation of large language models for medical tasks with MedHELMSuhana Bedi, Hejie Cui, Miguel Fuentes, et al.
Pageof 2