Chronic airflow limitation is the common denominator of patients with chronic obstructive
pulmonary disease (COPD). However, it is not possible to predict morbidity and mortality of …

Introduction The application of artificial intelligence (AI) and machine learning (ML) in
medicine and in particular in respiratory medicine is an increasingly relevant topic. Areas …

Remote patient monitoring should reduce mortality rates, improve care, and reduce costs.
We present an overview of the available technologies for the remote monitoring of chronic …

Major reported factors associated with the limited effectiveness of home telemonitoring
interventions in chronic respiratory conditions include the lack of useful early predictors …

Background: Chronic obstructive pulmonary disease (COPD) is a leading cause of death
throughout the world. Telemedicine has been utilized for many diseases and its prevalence …

Objectives Identifying acute exacerbations in chronic obstructive pulmonary disease
(AECOPDs) is of utmost importance for reducing the associated mortality and financial …

Chronic obstructive pulmonary disease (COPD) is one of the commonest causes of death in
the world and poses a substantial burden on healthcare systems and patients' quality of life …

Acute exacerbations are one of the main causes that reduce health-related quality of life and
lead to hospitalisations of patients of chronic obstructive pulmonary disease (COPD) …

Background Acute exacerbations of chronic obstructive pulmonary disease (AECOPD) are
associated with high mortality, morbidity, and poor quality of life and constitute a substantial …

The research aims to explore the association between behavioral habits and chronic
diseases, and to identify a portfolio of risk factors for preventive healthcare. The data is taken …