Today, cardiovascular diseases threaten human health worldwide. In clinical practice, it has
been concluded that analyzing the pulse waveform can provide clinically valuable …

More than 140 autoimmune diseases have distinct autoantibodies and symptoms, and it
makes it challenging to construct an appropriate model using Machine Learning (ML) for …

Abstract Background Cardiovascular disorders (CVDs) are the leading cause of death
worldwide. Lower-and middle-income countries (LMICs), such as Bangladesh, are also …

Cardiovascular disease (CVD) is a prevalent and serious condition causing a significant
global mortality rate. According to the World Health Organization (WHO), in 2022, CVD …

With the universal adoption of machine learning in healthcare, the potential for the
automation of societal biases to further exacerbate health disparities poses a significant risk …

Developing a predictive model for detecting cardiovascular diseases (CVDs) is crucial due
to its high global fatality rate. With the advancements in artificial intelligence, the availability …

The detection of cardiovascular diseases (CVD) using machine learning techniques
represents a significant advancement in medical diagnostics, aiming to enhance early …

Heart disease is one of the destructive infections that an enormous populace of individuals
all over the planet grieves. The prediction of heart disease is very much urged because of …

heart disease continues to be a prominent contributor to both illness and death on a
worldwide scale, presenting a substantial obstacle to public health. Heart disease can …

The longstanding prevalence of hypertension, often undiagnosed, poses significant risks of
severe chronic and cardiovascular complications if left untreated. This study investigated the …