Related Experiment Video

Updated: Apr 17, 2026

Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections
06:22

Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections

Published on: September 19, 2025

712

Early prediction of longitudinal treatment adherence in obstructive sleep apnea using machine learning approaches

Máximo Domínguez-Guerrero1,2, Daniel Álvarez3,4, Verónica Barroso-García3,4

  • 1Biomedical Engineering Group, University of Valladolid, Valladolid, 47011, Spain. maximodg@uva.es.

Biodata Mining
|April 16, 2026
PubMed
Abstract

No abstract available in PubMed .

Keywords:
CPAP adherenceMachine learningMultilayer perceptronObstructive sleep apneaRandom forestSupport vector machines

More Related Videos

Drug-Induced Sleep Endoscopy DISE with Target Controlled Infusion TCI and Bispectral Analysis in Obstructive Sleep Apnea07:54

Drug-Induced Sleep Endoscopy DISE with Target Controlled Infusion TCI and Bispectral Analysis in Obstructive Sleep Apnea

Published on: December 6, 2016

20.9K
Multi-Modal Home Sleep Monitoring in Older Adults07:40

Multi-Modal Home Sleep Monitoring in Older Adults

Published on: January 26, 2019

8.4K

Related Concept Videos

Sleep Apnea01:21

Sleep Apnea

Sleep apnea is a condition where breathing stops intermittently during sleep, often leading to significant health issues. Each episode can last from 10 to 20 seconds or more and is frequently accompanied by a brief arousal from sleep. This disturbance, largely unnoticed by the individual, can lead to severe daytime fatigue. Commonly, individuals seek help after being informed by their partners about loud snoring and noticeable breathing pauses during sleep.
The condition is more prevalent among...
833