Spatial population distribution data is the discretization of demographic data into spatial
grids, which has vital reference significance for disaster emergency response, disaster …

Cerebral strokes, the abrupt cessation of blood flow to the brain, lead to a cascade of events,
resulting in cellular damage due to oxygen and nutrient deprivation. Contemporary lifestyle …

The cardiovascular disease (CD) is a widespread, dangerous sickness involving an
excessive rate of demise that necessitates quick piousness for care and cure. There are …

Ion channel-modulating peptides play a crucial role in various physiological processes,
making their identification a significant area of research. In this study, we present …

For cardiac disease prediction, this paper examines feature selection approaches such
Particle Swarm Optimization (PSO) and the Chi-square test with XGBoost. We analyze their …

Background Focus on predictive algorithm and its performance evaluation is extensively
covered in most research studies. Best predictive models offer Optimum prediction solutions …

Cardiovascular disease (CVD) is a major global health issue that affects death rates
significantly. This research aims to improve the early detection and diagnosis of …

The major cause of human mortality worldwide is cardiovascular disease, and lowering the
mortality rate depends on early detection and intervention. By examining huge datasets of …

Cardiovascular disease (CVD) is a condition that can kill and is becoming more common
around the world. CVD and other heart illnesses could be found and predicted early on …

Background Cardiovascular diseases (CVDs) are a group of disorders that affect the heart
and blood vessels, including coronary artery disease, heart failure, and stroke. CVDs are a …