CKD

Chronic Kidney Disease (CKD) is a global health concern, affecting millions of individuals and posing a significant burden on healthcare systems worldwide. In countries like Bangladesh, where access to early diagnosis and preventive care is limited, CKD often progresses undetected, leading to severe complications and increased mortality.

This project aims to develop a Machine Learning (ML)-based system for early CKD risk prediction by analyzing diverse datasets, including demographic, clinical, physiological and behavioral data. The system will deliver early warnings and personalized risk assessments, empowering healthcare providers and individuals to take timely, evidence-based preventive measures.