Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

Environmental planning faces critical challenges, including inconsistent data quality, a shortage of technical expertise, and inadequate data sharing ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

Objectives The optimal maternal age at childbirth has been a topic of bourgeoning literature, with earlier ages offering physiological benefits for maternal recovery. In contrast, later ages to give ...