… the field of respiratory diseases. The string ‘(… respiratory disease diagnosis is based on
expert opinion, which relies on model recognition and clinical context to identify a specific disease…

… learning algorithms need to … machine learning algorithm for chronic respiratory disease
diagnosis. Our face mask can be conveniently used in daily life to collect and analyze respiratory …

… detection of respiratory diseases. Machine learning and deep learning models have been
… a better diagnosis of lung diseases based on respiratory sounds. This automatic detection …

… factors are known to influence the occurrence of respiratory diseases, we used these factors
to develop machine learning models for predicting the occurrence of respiratory diseases. …

… Cardiovascular and chronic respiratory diseases are global … In this study, we propose a
machine-learning-based … for both cardiovascular and chronic respiratory diseases. Based on the …

… , the classification system for respiratory diseases will be … the classification systems for
respiratory diseases. The stages … , where the available lung and respiratory disease data will be …

… machine learning (ML) methods to predict the peak OED arrivals of patients with chronic
respiratory diseases. … visits from patients with chronic respiratory diseases to OEDs in hospitals …

… respiratory diseases (RD) have been in the active domain for machine learning (ML) researchers
as these diseases … , inflammatory heart disease, ischemic heart disease (IHD), and RD …

… respiratory health parameters. This study proposes to estimate the prevalence of Chronic
Respiratory Diseases… discharges of patients with chronic respiratory diseases in Quito, Ecuador…

… RESULT AND DISCUSSION An IoT and machine learning-based system was … respiratory
diseases in real-time. Several sensors, including spirometers, pulse oximeters, and respiratory …