Introduction In the evolving landscape of healthcare and medicine, the merging of extensive
medical datasets with the powerful capabilities of machine learning (ML) models presents a …

Diabetes is thought to be the most common illness in underdeveloped nations. Early
detection and competent medical care are crucial steps in reducing the effects of diabetes …

Diabetes, a significant global health crisis, is primarily driven in India by unhealthy diets and
sedentary lifestyles, with rapid urbanization amplifying these effects through convenience …

Chronic liver disease (CLD) is a major health concern for millions of people all over the
globe. Early prediction and identification are critical for taking appropriate action at the …

Currently, diabetes is one of the most dangerous diseases in modern society. Prevention is
an extremely important aspect in the field of medicine, and the field of artificial intelligence …

This paper addresses the pressing issue of diabetes, which is a widespread condition
affecting a huge population worldwide. As cells become less responsive to insulin or fail to …

Diabetes, a chronic illness, has seen an increase in prevalence over the years, posing
several health challenges. This study aims to predict diabetes onset using the Pima Indians …

Purpose Liver disease causes two million deaths annually, accounting for 4% of all deaths
globally. Prediction or early detection of the disease via machine learning algorithms on …

Introduction Diabetes prediction using clinical datasets is crucial for medical data analysis.
However, class imbalances, where non-diabetic cases dominate, can significantly affect …

Penelitian ini mengeksplorasi analisis lama tempo pekerjaan dengan pendekatan algoritma
metaheuristik, khususnya Gradient Boosting Algorithm (GBA). Penelitian ini fokus pada …