This study presents an innovative health monitoring system leveraging IoT, big data analytics, and machine learning (ML) for improved healthcare delivery. Sensitive patient data is collected via IoT sensors and transferred to a server, where a fuzzy-supported support vector machine processes the data to provide medical decision support. Experiments demonstrate that the system effectively monitors patients and delivers timely healthcare services, highlighting the potential of IoT and ML integration for smart healthcare solutions.