Výsledky vyhledávání - "Justin Kreuter"

Akademický článek

Reimagining Learning Spaces of the Future: An Interprofessional, Virtual Workshop Utilizing Rapid Idea Generation and Lean Startup Methodologies

Autor: Heather Billings, Theresa Malin, Jennifer Allen, Angela Bergene, Katherine Cornelius, Stacy Craft, Lisa Hartzheim, Stacy A. Johnson, Jennifer Kallay, Justin Kreuter, Michelle Raths, Amy Seegmiller Renner, Elissa Hall

Publikováno v: MedEdPORTAL, Vol 18 (2022)

Introduction The needs and expectations of health professional educators and learners are evolving. Therefore, physical and virtual learning environments will look and function differently in the future. Understanding desirable, feasible options for

Externí odkaz: https://doaj.org/article/8b69b91c2b5a42c7bdf0bcb23cada978

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Akademický článek

COVID-19 Mortality Prediction From Deep Learning in a Large Multistate Electronic Health Record and Laboratory Information System Data Set: Algorithm Development and Validation

Publikováno v: Journal of Medical Internet Research, Vol 23, Iss 9, p e30157 (2021)

BackgroundCOVID-19 is caused by the SARS-CoV-2 virus and has strikingly heterogeneous clinical manifestations, with most individuals contracting mild disease but a substantial minority experiencing fulminant cardiopulmonary symptoms or death. The cli

Externí odkaz: https://doaj.org/article/b187600fd8864b3e9abf55f9dffdd50e

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COVID-19 Mortality Prediction From Deep Learning in a Large Multistate Electronic Health Record and Laboratory Information System Data Set: Algorithm Development and Validation (Preprint)

BACKGROUND COVID-19 is caused by the SARS-CoV-2 virus and has strikingly heterogeneous clinical manifestations, with most individuals contracting mild disease but a substantial minority experiencing fulminant cardiopulmonary symptoms or death. The cl

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e618e3199b0aae12c0735cb3d8203771
https://doi.org/10.2196/preprints.30157

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P086 UNOS UPLOAD TOOL (UUT): An easy automated system for updating and confirming unacceptable antigen results recorded in unet from laboratory results

Autor: Manish J. Gandhi Justin Kreuter, Laurie L. Wakefield, Deborah K. Falbo, Erik A. Scott, Brian A. Dukek, Lisa M. Hallaway

Publikováno v: Human Immunology. 79:125

Aim UNet is a data repository for transplant candidates and donors and is managed by the United Network for Organ Sharing (UNOS). Our laboratory updates UNet daily with unacceptable antigens for transplant candidates. We have developed and validated

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4ee9b7334c996cb8d376ecdd370d4db7
https://doi.org/10.1016/j.humimm.2018.07.145

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