A machine learning model for real-time asynchronous breathing monitoring
The occurrence of asynchronous breathing (AB) during mechanical ventilation (MV) can have detrimental effect towards a patient's recovery. Hence, it is essential to develop an algorithm to automate AB detection in real-time. In this study, a method for AB detection using machine learning, in pa...
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Main Authors: | , , , , , |
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Format: | Article |
Language: | English English |
Published: |
Elsevier B.V.
2018
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Subjects: | |
Online Access: | http://irep.iium.edu.my/70025/1/70025_A%20MACHINE%20LEARNING%20MODEL%20FOR%20REAL-TIME%20_article.pdf http://irep.iium.edu.my/70025/2/70025_A%20MACHINE%20LEARNING%20MODEL%20FOR%20REAL-TIME%20_scopus.pdf http://irep.iium.edu.my/70025/ https://reader.elsevier.com/reader/sd/pii/S2405896318333196?token=6A4211F58F309EFCB97F3CCDD97FD990729A8D8A00F3E9C219E972976D8AAC2FB4CCEADC4E650E2C68D6E8E822A41582 |
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Institution: | Universiti Islam Antarabangsa Malaysia |
Language: | English English |