Parkinson's disease (PD) is characterized by the loss of neuronal cells, which leads to
synaptic dysfunction and cognitive defects. Despite the advancements in treatment …

Machine Learning (ML) is a rapidly emerging field that enables a plethora of innovative
approaches to solving real-world problems. It enables machines to learn without human …

Globally, diabetes affects 537 million people, making it the deadliest and the most common
non‐communicable disease. Many factors can cause a person to get affected by diabetes …

Diabetes is a long-lasting disease triggered by expanded sugar levels in human blood and
can affect various organs if left untreated. It contributes to heart disease, kidney issues …

Diabetes mellitus is often a hyperglycemic condition that poses a substantial threat to human
health. Early diabetes detection decreases morbidity and mortality. Due to the scarcity of …

Abstract INTRODUCTION: Chronic Kidney Disease refers to the slow, progressive
deterioration of kidney functions. However, the impairment is irreversible and imperceptible …

Diabetes is one of the most common and serious diseases affecting human health. Early
diagnosis and treatment are vital to prevent or delay complications related to diabetes. An …

Heart disease is a leading cause of mortality on a global scale. Accurately predicting
cardiovascular disease poses a significant challenge within clinical data analysis. The …

The development of genomic technology for smart diagnosis and therapies for various
diseases has lately been the most demanding area for computer-aided diagnostic and …

This study aims to use a machine learning (ML)-based enhanced diagnosis and survival
model to predict heart disease and survival in heart failure by combining the cuckoo search …