Related Experiment Video

Updated: May 4, 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

751

Challenges in interpreting wheeze phenotypes: the clinical implications of statistical learning techniques

Danielle Belgrave1, Angela Simpson, Adnan Custovic

  • 11 Institute of Inflammation and Repair University of Manchester and University Hospital of South Manchester Manchester, United Kingdom and.

American Journal of Respiratory and Critical Care Medicine
|January 17, 2014
PubMed
Summary

No abstract available in PubMed .

More Related Videos

Asthma Detection Research Based on Voice Signal Processing and Machine Learning04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

1.2K
Simplified Whole Body Plethysmography to Characterize Lung Function During Respiratory Melioidosis07:27

Simplified Whole Body Plethysmography to Characterize Lung Function During Respiratory Melioidosis

Published on: February 24, 2023

7.1K

Related Concept Videos

Respiratory System Abnormal Finding II: Palpation and Auscultation01:31

Respiratory System Abnormal Finding II: Palpation and Auscultation

In assessing respiratory abnormalities, palpation and auscultation are critical tools for detecting and interpreting various pathophysiological changes. These techniques provide insight into underlying disorders by evaluating tactile sensations and sounds produced by the respiratory system.
Palpation Findings
During a respiratory assessment, palpation can reveal several vital abnormalities:
2.1K