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J N Stroh

Showing results (11-20 of 14) with videos related to

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Journal of Biomedical Informatics|November 20, 2023
A methodology of phenotyping ICU patients from EHR data: High-fidelity, personalized, and interpretable phenotypes estimationYanran Wang, J N Stroh, George Hripcsak, et al.
NPJ Digital Medicine|April 6, 2026
Towards a physics informed digital twin to predict cerebral blood flow and cerebral vascular regulationJennifer K Briggs, J N Stroh, Soojin Park, et al.
Journal of the American Medical Informatics Association : JAMIA|May 11, 2021
Real-time electronic health record mortality prediction during the COVID-19 pandemic: a prospective cohort studyPeter D Sottile, David Albers, Peter E DeWitt, et al.
Medrxiv : the Preprint Server for Health Sciences|January 20, 2021
Real-Time Electronic Health Record Mortality Prediction During the COVID-19 Pandemic: A Prospective Cohort StudyPeter D Sottile, David Albers, Peter E DeWitt, et al.
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Showing results (11-20 of 14) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 14 results.
Journal of Biomedical Informatics|November 20, 2023
A methodology of phenotyping ICU patients from EHR data: High-fidelity, personalized, and interpretable phenotypes estimationYanran Wang, J N Stroh, George Hripcsak, et al.
NPJ Digital Medicine|April 6, 2026
Towards a physics informed digital twin to predict cerebral blood flow and cerebral vascular regulationJennifer K Briggs, J N Stroh, Soojin Park, et al.
Journal of the American Medical Informatics Association : JAMIA|May 11, 2021
Real-time electronic health record mortality prediction during the COVID-19 pandemic: a prospective cohort studyPeter D Sottile, David Albers, Peter E DeWitt, et al.
Medrxiv : the Preprint Server for Health Sciences|January 20, 2021
Real-Time Electronic Health Record Mortality Prediction During the COVID-19 Pandemic: A Prospective Cohort StudyPeter D Sottile, David Albers, Peter E DeWitt, et al.
Pageof 2