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The Journal of pediatrics
Showing 1 to 4 of 4 articles
Predicting Extubation Readiness in Preterm Infants Utilizing Machine Learning: A Diagnostic Utility Study.
The Journal of pediatrics
Mar 30, 2024
OBJECTIVE: The objective of this study was to predict extubation readiness in preterm infants using machine learning analysis of bedside pulse oximeter and ventilator data.
Humans
Machine Learning
Prospective Studies
Female
Infant, Newborn
Male
ROC Curve
Hypoxia
Oxygen Saturation
Infant, Premature
Gestational Age
Airway Extubation
Oximetry
Ventilator Weaning
View on PubMed
DOI
Bias In, Bias Out: Ethical Considerations for the Application of Machine Learning in Pediatrics.
The Journal of pediatrics
Feb 2, 2022
Humans
Machine Learning
Child
Bias
Pediatrics
Morals
View on PubMed
DOI
Ethical Considerations Related to Using Machine Learning-Based Prediction of Mortality in the Pediatric Intensive Care Unit.
The Journal of pediatrics
Jan 14, 2022
Humans
Machine Learning
Intensive Care Units
Child
Intensive Care Units, Pediatric
View on PubMed
DOI
Machine Learning and Artificial Intelligence in Pediatric Research: Current State, Future Prospects, and Examples in Perioperative and Critical Care.
The Journal of pediatrics
Jun 1, 2020
Humans
Artificial Intelligence
Machine Learning
Algorithms
Biomedical Research
Risk Assessment
Postoperative Complications
Monitoring, Intraoperative
Ultrasonography
Hospital Mortality
Intensive Care Units, Pediatric
Blood Transfusion
Critical Care
Hemorrhage
Anesthesia
Patient Admission
Intraoperative Complications
Heart Arrest
Airway Management
Perioperative Care
View on PubMed
DOI
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