Chronic airway diseases are characterized by airway inflammation, obstruction, and
remodeling and show high prevalence, especially in developing countries. Among them …

The past 5 years have seen an explosion of interest in the use of artificial intelligence (AI)
and machine learning techniques in medicine. This has been driven by the development of …

The human body generates various forms of subtle, broadband acousto-mechanical signals
that contain information on cardiorespiratory and gastrointestinal health with potential …

The aim of this paper was the detection of pathologies through respiratory sounds. The
ICBHI (International Conference on Biomedical and Health Informatics) Benchmark was …

This paper investigates the application of different homogeneous ensemble learning
methods to perform multi-class classification of respiratory diseases. The case sample …

Pulmonary breathing sound plays a key role in the prevention and diagnosis of the lung
diseases. Its correlation with pathology and physiology has become an important research …

Chest or upper body auscultation has long been considered a useful part of the physical
examination going back to the time of Hippocrates. However, it did not become a prevalent …

In recent years deep learning models improve the diagnosis performance of many diseases
especially respiratory diseases. This paper will propose an evaluation for the performance of …

Artificial intelligence (AI) when coupled with large amounts of well characterised data can
yield models that are expected to facilitate clinical practice and contribute to the delivery of …

This study proposes an accurate asthma detection model using an attention network and
machine learning technique. The objective of this study is the automated detection of asthma …