Zobrazeno 1 - 10 of 76 pro vyhledávání: '"Omar Badawi"'
1
Akademický článek
Machine learning modelling for predicting the utilization of invasive and non‐invasive ventilation throughout the ICU duration
Autor: Emma Schwager, Mohsen Nabian, Xinggang Liu, Ting Feng, Robin French, Pam Amelung, Louis Atallah, Omar Badawi
Publikováno v: Healthcare Technology Letters, Vol 11, Iss 4, Pp 252-257 (2024)
Abstract The goal of this work is to develop a Machine Learning model to predict the need for both invasive and non‐invasive mechanical ventilation in intensive care unit (ICU) patients. Using the Philips eICU Research Institute (ERI) database, 2.6
Externí odkaz: https://doaj.org/article/bd6de89c73f1431daf83ead08b94948b
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2
Akademický článek
Machine learning prediction of the total duration of invasive and non-invasive ventilation During ICU Stay.
Autor: Emma Schwager, Xinggang Liu, Mohsen Nabian, Ting Feng, Robin MacDonald French, Pam Amelung, Louis Atallah, Omar Badawi
Publikováno v: PLOS Digital Health, Vol 2, Iss 9, p e0000289 (2023)
Predicting the duration of ventilation in the ICU helps in assessing the risk of ventilator-induced lung injury, ensuring sufficient oxygenation, and optimizing resource allocation. Prior models provided a prediction of total duration without disting
Externí odkaz: https://doaj.org/article/41207e78ba7741ee9581434b17bf5cbe
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4
Akademický článek
Readmissions and death after ICU discharge: development and validation of two predictive models.
Autor: Omar Badawi, Michael J Breslow
Publikováno v: PLoS ONE, Vol 7, Iss 11, p e48758 (2012)
INTRODUCTION: Early discharge from the ICU is desirable because it shortens time in the ICU and reduces care costs, but can also increase the likelihood of ICU readmission and post-discharge unanticipated death if patients are discharged before they
Externí odkaz: https://doaj.org/article/12dedaf6f8c64ca483c89f13df265cba
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9
Temporal Trends in Critical Care Outcomes in U.S. Minority-Serving Hospitals
Autor: Barret Rush, Kenneth J. Mukamal, Rodrigo Octavio Deliberato, Miguel Ángel Armengol de la Hoz, Wenyuan Li, Matthieu Komorowski, Omar Badawi, Leo Anthony Celi, John Danziger
Publikováno v: Am J Respir Crit Care Med
American Journal of Respiratory and Critical Care Medicine
Rationale: Whether critical care improvements over the last 10 years extend to all hospitals has not been described. Objectives: To examine the temporal trends of critical care outcomes in minority and non–minority-serving hospitals using an incept
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e2f4a8a4329c6fa2e06f9edaa9d1915
https://doi.org/10.1164/rccm.201903-0623oc
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10
Developing well-calibrated illness severity scores for decision support in the critically ill
Autor: Aaron R. Kaufman, David J. Stone, Miguel Ángel Armengol de la Hoz, Leo Anthony Celi, Christopher V. Cosgriff, Omar Badawi, Rodrigo Octavio Deliberato, Stephanie Q Ko, Tejas Sundaresan
Publikováno v: npj Digital Medicine, Vol 2, Iss 1, Pp 1-8 (2019)
npj Digital Medicine, ISSN 2398-6352, 2019-08-15, Vol. 2, No. 76
Archivo Digital UPM
Universidad Politécnica de Madrid
NPJ Digital Medicine
Illness severity scores are regularly employed for quality improvement and benchmarking in the intensive care unit, but poor generalization performance, particularly with respect to probability calibration, has limited their use for decision support.
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca567e8c4697f119008c2de9bbaa26b1
http://link.springer.com/article/10.1038/s41746-019-0153-6
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