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Jason A Fries

Showing results (1-10 of 16) with videos related to

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Journal of Biomedical Informatics|December 8, 2020
Language models are an effective representation learning technique for electronic health record dataEthan Steinberg, Ken Jung, Jason A Fries, et al.
Nature Communications|April 2, 2021
Ontology-driven weak supervision for clinical entity classification in electronic health recordsJason A Fries, Ethan Steinberg, Saelig Khattar, et al.
Arxiv|August 15, 2020
Ontology-driven weak supervision for clinical entity classification in electronic health recordsJason A Fries, Ethan Steinberg, Saelig Khattar, et al.
NPJ Digital Medicine|July 23, 2020
Estimating the efficacy of symptom-based screening for COVID-19Alison Callahan, Ethan Steinberg, Jason A Fries, et al.
NPJ Digital Medicine|October 5, 2019
Medical device surveillance with electronic health recordsAlison Callahan, Jason A Fries, Christopher Ré, et al.
The American Journal of Managed Care|January 30, 2023
Investigating real-world consequences of biases in commonly used clinical calculatorsRichard M Yoo, Dev Dash, Jonathan H Lu, et al.
JMIR Medical Informatics|April 10, 2024
Scalable Approach to Consumer Wearable Postmarket Surveillance: Development and Validation StudyRichard M Yoo, Ben T Viggiano, Krishna N Pundi, et al.
JAMA Network Open|March 15, 2021
Assessment of Extractability and Accuracy of Electronic Health Record Data for Joint Implant RegistriesNicholas J Giori, John Radin, Alison Callahan, et al.
JAMIA Open|August 7, 2023
The Stanford Medicine data science ecosystem for clinical and translational researchAlison Callahan, Euan Ashley, Somalee Datta, et al.
Nature Communications|July 17, 2019
Weakly supervised classification of aortic valve malformations using unlabeled cardiac MRI sequencesJason A Fries, Paroma Varma, Vincent S Chen, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Journal of Biomedical Informatics|December 8, 2020
Language models are an effective representation learning technique for electronic health record dataEthan Steinberg, Ken Jung, Jason A Fries, et al.
Nature Communications|April 2, 2021
Ontology-driven weak supervision for clinical entity classification in electronic health recordsJason A Fries, Ethan Steinberg, Saelig Khattar, et al.
Arxiv|August 15, 2020
Ontology-driven weak supervision for clinical entity classification in electronic health recordsJason A Fries, Ethan Steinberg, Saelig Khattar, et al.
NPJ Digital Medicine|July 23, 2020
Estimating the efficacy of symptom-based screening for COVID-19Alison Callahan, Ethan Steinberg, Jason A Fries, et al.
NPJ Digital Medicine|October 5, 2019
Medical device surveillance with electronic health recordsAlison Callahan, Jason A Fries, Christopher Ré, et al.
The American Journal of Managed Care|January 30, 2023
Investigating real-world consequences of biases in commonly used clinical calculatorsRichard M Yoo, Dev Dash, Jonathan H Lu, et al.
JMIR Medical Informatics|April 10, 2024
Scalable Approach to Consumer Wearable Postmarket Surveillance: Development and Validation StudyRichard M Yoo, Ben T Viggiano, Krishna N Pundi, et al.
JAMA Network Open|March 15, 2021
Assessment of Extractability and Accuracy of Electronic Health Record Data for Joint Implant RegistriesNicholas J Giori, John Radin, Alison Callahan, et al.
JAMIA Open|August 7, 2023
The Stanford Medicine data science ecosystem for clinical and translational researchAlison Callahan, Euan Ashley, Somalee Datta, et al.
Nature Communications|July 17, 2019
Weakly supervised classification of aortic valve malformations using unlabeled cardiac MRI sequencesJason A Fries, Paroma Varma, Vincent S Chen, et al.
Pageof 2