About 26 million people worldwide experience its effects each year. Both cardiologists and
surgeons have a tough time determining when heart failure will occur. Classification and …

The point of care services and medication have become simpler with efficient consumer
electronics devices in a smart healthcare system. Cardiovascular disease is a critical illness …

DNA methylation plays a significant role in regulating transcription and exhibits a systematic
change with age. These changes can be used to predict an individual's age. First, to identify …

Early risk assessment is essential since cardiovascular disease (CVD) is a significant
healthcare burden. Earlier assessment methods either employed machine learning (ML) …

The aim of this study is to predict spam messages using Naive Bayes in comparison with
SVM algorithms to improve the accuracy. Spam message prediction is performed using …

Cardiovascular diseases (CVDs) remain a leading cause of mortality worldwide, posing a
significant public health challenge. Early identification of individuals at high risk of CVD is …

Cardiovascular diseases (CVD) are a prominent source of death across the globe, and
these deaths are taking place in low-to middle-income nations. Due to this, CVD prevention …

Heart disease poses a serious threat, and the occurrence of a heart attack can lead to
premature and fatal situations. Recent investigations in data mining techniques have …

In this world of upgrading technologies many types of software equipment are developed in
the cardiology sector which help patients to get better treatment. With the present innovative …

Cardiovascular disease is a life-threatening condition accounting for over 17 million deaths
globally every year. Several studies have revealed the advancement of machine learning …