Hypertension, or high blood pressure, is a global health crisis affecting more than 1.28 billion adults worldwide, according to the World Health Organization (WHO). Despite decades of medical advancements, the condition remains a leading risk factor for cardiovascular diseases, stroke, and kidney failure. However, the advent of big data analytics is revolutionizing how hypertension is studied, diagnosed, and managed. By analyzing vast amounts of healthcare data, researchers and clinicians are uncovering patterns, predicting risks, and tailoring treatments with unprecedented precision. This article explores how data-driven approaches are transforming hypertension care, improving patient outcomes, and paving the way for a more personalized and proactive healthcare system.
