Výsledky vyhledávání - "Ian Hoaglund"

Akademický článek

OASIS +: leveraging machine learning to improve the prognostic accuracy of OASIS severity score for predicting in-hospital mortality

Autor: Yasser EL-Manzalawy, Mostafa Abbas, Ian Hoaglund, Alvaro Ulloa Cerna, Thomas B. Morland, Christopher M. Haggerty, Eric S. Hall, Brandon K. Fornwalt

Publikováno v: BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-13 (2021)

Abstract Background Severity scores assess the acuity of critical illness by penalizing for the deviation of physiologic measurements from normal and aggregating these penalties (also called “weights” or “subscores”) into a final score (or pr

Externí odkaz: https://doaj.org/article/fd3175879dbf4acc818eac958f6f62cc

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OASIS+: leveraging machine learning to improve the prognostic accuracy of OASIS severity score for predicting in-hospital mortality

Autor: Yasser EL-Manzalawy, Brandon K. Fornwalt, Eric S. Hall, Christopher M. Haggerty, Mostafa M. Abbas, Alvaro E. Ulloa Cerna, Thomas B. Morland, Ian Hoaglund

Publikováno v: BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-13 (2021)

Background Severity scores assess the acuity of critical illness by penalizing for the deviation of physiologic measurements from normal and aggregating these penalties (also called “weights” or “subscores”) into a final score (or probability

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce2e9c41b220718a2380c975cbb205e7
https://doi.org/10.1101/2020.12.28.20248946

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