Leveling Up: A Review of Machine Learning Models in the Cardiac ICU-Reference-Cited by-同舟云学术

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Leveling Up: A Review of Machine Learning Models in the Cardiac ICU

Published:2023-10 Issue:10 Volume:136 Page:979-984
ISSN:0002-9343
Container-title:The American Journal of Medicine
language:en
Short-container-title:The American Journal of Medicine

Author:

Khalpey Zain^ORCID,Wilson Parker,Suri Yash,Culbert Hunter,Deckwa Jessa,Khalpey Amina,Rozell Brynne^ORCID

Publisher

Elsevier BV

Subject

General Medicine

Reference35 articles.

1. Path to precision: prevention of post-operative atrial fibrillation;Skaria;J Thorac Dis,2020

2. The benefits and new predictors of early extubation following coronary artery bypass grafting;Miyamoto;Ann Thorac Cardiovasc Surg,2000

3. One-year trajectories of care and resource utilization for recipients of prolonged mechanical ventilation: a cohort study;Unroe;Ann Intern Med,2010

4. Effect of failed extubation on the outcome of mechanical ventilation;Epstein;Chest,1997

5. Myocardial injury after surgery is a risk factor for weaning failure from mechanical ventilation in critical patients undergoing major abdominal surgery;Li;PLoS One,2014

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1. Using Artificial Intelligence to Predict Mechanical Ventilation Weaning Success in Patients with Respiratory Failure, Including Those with Acute Respiratory Distress Syndrome;Journal of Clinical Medicine;2024-03-05

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