The use of machine learning techniques in medicine has increased in recent years due to a
rise in publicly available datasets. These techniques have been applied in high blood …

Arterial hypertension (AH) is a progressive issue that grows in importance with the increased
average age of the world population. The potential role of artificial intelligence (AI) in its …

Background Hypertension is the most common modifiable risk factor for cardiovascular
diseases in South Asia. Machine learning (ML) models have been shown to outperform …

Background and objective Hypertension, a global burden, is associated with several risk
factors and can be treated by lifestyle modifications and medications. Prediction and early …

This paper focus on a neural network classification model to estimate the association among
gender, race, BMI, age, smoking, kidney disease and diabetes in hypertensive patients. It …

High blood pressure early screening remains a challenge due to the lack of symptoms
associated with it. Accordingly, noninvasive methods based on photoplethysmography …

Abstract Purpose of Review Evidence that artificial intelligence (AI) is useful for predicting
risk factors for hypertension and its management is emerging. However, we are far from …

Hypertension remains the largest modifiable cause of mortality worldwide despite the
availability of effective medications and sustained research efforts over the past 100 years …

Context Continuous blood pressure (BP) monitoring plays an important role while treating
various cardiovascular diseases and hypertension. A high correlation between arterial blood …

Diabetes is a disease that is closely linked to genetics and epigenetics, yet mechanisms for
clarifying the onset and/or progression of the disease have sometimes not been fully …