We conducted a systematic review using PRISMA (Preferred Reporting Items for Systematic
Reviews and Meta-Analysis) guidelines of articles published until September 2022 from …

An electrocardiogram (ECG) is a schematic illustration of heart signals that is being used to
measure the electric signals of the heart and to detect any abnormalities. Due to non …

The electrical activity produced during the heartbeat is measured and recorded by an ECG.
Cardiologists can interpret the ECG machine's signals and determine the heart's health …

Purpose Surgical oncologists are frequently confronted with the question of expected long-
term prognosis. The aim of this study was to apply machine learning algorithms to optimize …

Millions of people around the world are affected by arrhythmias, which are abnormal
activities of the functioning of the heart. Most arrhythmias are harmful to the heart and can …

The development of automatic monitoring and diagnosis systems for cardiac patients over
the internet has been facilitated by recent advancements in wearable sensor devices from …

Abstract Machine learning (ML) models have been widely used for predicting spatial
variability of soil heavy metals. However, it is impossible to explore the entire …

High-fine particulate matter (PM 2. 5) pollution has become the main object of damaging the
atmospheric environment and endangering human health. Accurate prediction of the spatial …

Cardiovascular diseases (CVDs) are the primary cause of death. Every year, many people
die due to heart attacks. The electrocardiogram (ECG) signal plays a vital role in diagnosing …

Early diagnosis of illness is critical for timely initiation of treatment and ultimately curing of
the patient. This is especially important for diseases in which fatality rate is high like heart …