Explainable Machine Learning for Central Apnea Detection in Premature Infants-Reference-Cited by-同舟云学术

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Explainable Machine Learning for Central Apnea Detection in Premature Infants

Published:2024-06-26 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA)
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Author:

Varisco Gabriele¹,Peng Zheng²,Andriessen Peter³,Van Pul Carola⁴,Long Xi¹

Affiliation:

1. Eindhoven University of Technology,Electrical Engineering,Eindhoven,Netherlands

2. Applied Physics Eindhoven University of Technology,Eindhoven,Netherlands

3. Pediatrics Màxima Medical Center,Veldhoven,Netherlands

4. Clinical Physics Màxima Medical Center,Veldhoven,Netherlands

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10596554/10596704/10596705.pdf?arnumber=10596705

Reference20 articles.

1. The potential for artificial intelligence in healthcare

2. The role of machine learning in clinical research: transforming the future of evidence generation

3. A new algorithm for detecting central apnea in neonates

4. Detecting central apneas using multichannel signals in premature infants

5. Central apnea detection in premature infants using machine learning

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