Background Machine learning (ML) is a growing field in medicine. This narrative review
describes the current body of literature on ML for clinical decision support in infectious …

Background Artificial intelligence (AI) and machine learning (ML) are poised to transform
infectious disease testing. Uniquely, infectious disease testing is technologically diverse …

An extensive amount of information is currently available to clinical specialists, ranging from
details of clinical symptoms to various types of biochemical data and outputs of imaging …

Neural networks (NNs) are a subset in the field of machine learning (ML) that tends to make
it possible for a machine to learn and make new predictions based on previous experiences …

Chronic obstructive pulmonary, pneumonia, asthma, tuberculosis, lung cancer diseases are
the most important chest diseases. These chest diseases are important health problems in …

The primary diagnosis of Tuberculosis (TB) is usually carried out by looking at the various
signs and symptoms of a patient. However, these signs and symptoms cannot be measured …

Tuberculosis [TB] has afflicted numerous nations in the world. As per a report by the World
Health Organization [WHO], an estimated 1.4 million TB deaths in 2015 and an additional …

This research paper presents an overview of contemporary machine learning
methodologies and their utilization in the domain of healthcare and the prevention of …

Large numbers of machine learning approaches have been developed for analysis of
medical data in recent years. These approaches have also proved their significance through …

This paper presents the development and real-time testing of an automated expert
diagnostic telehealth system for the diagnosis of 2 respiratory diseases, asthma and Chronic …