Autoimmune diseases are a group of disorders resulting from an alteration of immune
tolerance, characterized by the formation of autoantibodies and the consequent …

The adoption of electric vehicles (EVs) is influenced by a range of incentives and barriers.
EVs offer benefits such as reduced emissions and lower costs but face challenges in gaining …

Objective Machine learning (ML) is increasingly employed to diagnose medical conditions,
with algorithms trained to assign a single label using a black-box approach. We created an …

Advancements in genomic technologies have paved the way for significant breakthroughs in
cancer diagnostics, with DNA microarray technology standing at the forefront of identifying …

Simple Summary This research aims to evaluate the effectiveness of a machine learning
algorithm, XGBoost, in predicting treatment recommendations for patients with …

The study delved into health insurance cross-selling, where additional insurance products
are promoted to existing policyholders, suggesting supplementary coverage such as dental …

Addressing imbalances in medical datasets is crucial for enhancing the reliability of
predictive models. This study presents a comparative analysis of various Synthetic Minority …

This research examines the efficacy of ensemble Machine Learning (ML) models, mainly
focusing on Deep Neural Networks (DNNs), in predicting the need for cardiovascular …