Achieving Better Understanding of Obstructive Sleep Apnea Treatment Effects on Cardiovascular Disease Outcomes through Machine Learning Approaches: A Narrative Review

Achieving Better Understanding of Obstructive Sleep Apnea Treatment Effects on Cardiovascular Disease Outcomes through Machine Learning Approaches: A Narrative Review

Obstructive sleep apnea (OSA) affects almost a billion people worldwide and is associated with a myriad of adverse health outcomes. Among the most prevalent and morbid are cardiovascular diseases (CVDs). Nonetheless, randomized controlled trials (RCTs) of OSA treatment have failed to show improvemen...

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Bibliographic Details
Main Authors: Oren Cohen, Vaishnavi Kundel, Philip Robson, Zainab Al-Taie, Mayte Suárez-Fariñas, Neomi A. Shah
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Journal of Clinical Medicine
Subjects:
obstructive sleep apnea
cardiovascular disease
machine learning
artificial intelligence
heterogeneity of treatment effects
ethics in machine learning and artificial intelligence
Online Access:https://www.mdpi.com/2077-0383/13/5/1415

Internet

https://www.mdpi.com/2077-0383/13/5/1415

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