Design of a Classifier to Determine the Optimal Moment of Weaning of Patients undergoing to the T-tube Test-Reference-Cited by-同舟云学术

Design of a Classifier to Determine the Optimal Moment of Weaning of Patients undergoing to the T-tube Test

Published:2022-07-11 Issue: Volume: Page:
ISSN:
Container-title:2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Gonzalez Hernando¹,Arizmendi Carlos¹,Giraldo Beatriz F.²

Affiliation:

1. Universidad Autónoma de Bucaramanga,Control and Mechatronic Research Group,Mechatronic Engineering Dept.

2. the Barcelona East School of Engineering (EEBE), Universitat Politècnica de Catalunya (UPC), Institute for Bioengineering of Catalonia (IBEC) - The Barcelona Institute of Science and Technology,CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN),Automatic Control Dept. (ESAII),Barcelona,Spain,16.08019

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9870821/9870822/09871242.pdf?arnumber=9871242

Reference16 articles.

1. Automated versus non-automated weaning for reducing the duration of mechanical ventilation for critically ill adults and children: a cochrane systematic review and meta-analysis

2. The efficacy and effectiveness of machine learning for weaning in mechanically ventilated patients at the intensive care unit: a systematic review

3. Nonlinear dynamic analysis of the cardiorespiratory system in patients undergoing the weaning process

4. Work of Breathing Estimation during Spontaneous Breathing Test using Machine Learning Techniques

5. A Machine Learning decision-making tool for extubation in Intensive Care Unit patients

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