What is it about?
Application of a machine learning system to distinguish between airway device interventions (mask ventilation or breathing tube) during general anesthesia in a pediatric hospital.
Featured Image
Why is it important?
This work is a building block for sophisticated alert systems that can improve patient safety by providing accurate and timely warnings to clinicians during patient care.
Read the Original
This page is a summary of: Neural Network Classifier for Automatic Detection of Invasive Versus Noninvasive Airway Management Technique Based on Respiratory Monitoring Parameters in a Pediatric Anesthesia, Journal of Medical Systems, August 2017, Springer Science + Business Media,
DOI: 10.1007/s10916-017-0787-3.
You can read the full text:
Contributors
The following have contributed to this page
