Atherosclerosis, caused by a variety of extrinsic risk factors, is the major cause of the
cardiovascular and cerebrovascular diseases that bring high mortality and morbidity …

An eye disease affects the entire sensory operation, and an unrecognised and untreated
eye disease may lead to loss of vision. The proposed work aims to develop an automated …

Graph convolutional networks (GCNs) have achieved impressive results in many medical
scenarios involving graph node classification tasks. However, there are difficulties in transfer …

Totally 167 patients were admitted at cardiology ward in Villa Scassi hospital, Genoa, Italy.
We worked with two control groups: heart failure 59 patients (mean age: 71.37±13.27 years) …

In this study, a new boosting algorithm was proposed based on the traditional AdaBoost
algorithm to better address classification problems. While preserving the core idea of …

The survival of patients' deaths owing to Heart Disease (HD) could be improved with the
assistance of an enhanced approach for predicting the risk of diabetes and HD …

Annotation Heart failure and Type 2 Diabetes Mellitus are two of the most common chronic
conditions affecting adults worldwide. Soluble suppression of tumorigenicity 2 and galectin …

Cardiovascular diseases (CVD) represent a significant global health challenge, often
remaining undetected until severe cardiac events, such as heart attacks or strokes, occur. In …

To analyze and comprehend free text, machine learning, a subset of" natural language
processing," may be employed. It can be wielded in conjunction with medical data to …

Heart-related conditions remain the foremost global cause of mortality. In 2000, heart
disease claimed around 14 million lives worldwide, a number that surged to approximately …