Data mining involves the use of mathematical sciences, statistics, artificial intelligence, and
machine learning to determine the relationships between variables from a large sample of …

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

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 …

Chronic obstructive pulmonary disease (COPD) is the third leading cause of death
worldwide, and its global health burden is increasing. COPD is characterized by …

Chronic respiratory diseases are among the leading causes of death worldwide, but only
symptomatic therapies are available for terminal illness. This in part reflects a lack of …

First-and second-hand exposure to smoke or air pollutants is the primary cause of chronic
obstructive pulmonary disease (COPD) pathogenesis, where genetic and age-related …

Treatment of COPD should reflect the complexity and heterogeneity of the disease and be
tailored to individual patients. Major goals of COPD treatment are symptom reduction and …

Chronic obstructive pulmonary disease (COPD) is a highly heterogeneous disease, and
metabolomics plays a hub role in predictive, preventive, and personalized medicine (PPPM) …

Abstract Machine learning (ML) is a discipline of computer science in which statistical
methods are applied to data in order to classify, predict, or optimize, based on previously …

Chronic respiratory diseases have collectively become a major public health concern and
have now taken form as one of the leading causes of mortality worldwide. Most chronic …