AI-Powered-IoT (AIIoT)-Based Decision-Making System for BP Patient's Healthcare Monitoring
Kutubuddin Sayyad Liyakat Kazi · Advances in computational intelligence and robotics book series · 2024
The artificial intelligence-driven, internet of things-based KSK approach to BP patient healthcare monitoring has the potential to revolutionise the way hypertension is managed. It facilitates accurate and real-time monitoring, as well as personalised treatment regimens, patient empowerment, and the ability for healthcare professionals to make decisions based on precise information. With further advancements in this technology, we can expect a significant improvement in the treatment of hypertension and other chronic illnesses. Three metrics are employed to assess the efficacy of classifiers. The measurements encompass accuracy, precision, and recall. The current KSK approach in the BP healthcare sector attains an accuracy rate that varies between 89% and 93% for each ailment.