Machine Learning-Based System for Predicting Hypertension in North Saudi Arabia

This study presents a machine learning-based (ML) System made to predict hypertension in people living in northern Saudi Arabia. People in the area provided a sizable dataset of some medical information, lifestyle choices, and other pertinent information. To identify the main risk factors for hypertension, the data was used to train a machine learning model. The ML-based system was found to be highly accurate in predicting hypertension, and it can be easily accessed by medical professionals by being integrated into current medical systems. In order to provide targeted screenings and interventions, the system can also be used to identify people who are at a high risk of developing hypertension. This ML-based system may enhance early detection and treatment of hypertension in the community of northern Saudi Arabia, improving, therefore, health outcomes.