This paper reviews applications of machine learning (ML) predictive models in the diagnosis
of chronic diseases. Chronic diseases (CDs) are responsible for a major portion of global …

Computer-aided diagnosis (CAD) in medicine is the result of a large amount of effort
expended in the interface of medicine and computer science. As some CAD systems in …

Auscultation with stethoscope has been an essential tool for diagnosing the patients with
respiratory disease. Although auscultation is non-invasive, rapid, and inexpensive, it has …

Chronic diseases are persistent health conditions that affect our quality of life, increase
morbidity and mortality, and are a global challenge. Further, the increasing prevalence of …

Interest in artificial intelligence (AI) research has grown rapidly over the past few years, in
part thanks to the numerous successes of modern machine learning techniques such as …

Background Rural areas have historically struggled with shortages of healthcare providers;
however, advanced communication technologies have transformed rural healthcare, and …

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 …

Recent developments in sensor technology and computational analysis methods enable
new strategies to measure and interpret lung acoustic signals that originate internally, such …

Methods: A comprehensive literature collection was compiled through electronic
databases/internet search engines (PubMed, Web of Science Platform, MEDLINE, Scopus …

Objective Chronic obstructive pulmonary disease (COPD) is one of the leading causes of
death worldwide. Telehealth rehabilitation may offer new opportunities in patient therapy …