AI-Driven IoT (AIIoT)-Based Decision-Making System for High BP Patient Healthcare Monitoring
Kutubuddin Sayyad Liyakat Kazi
Abstract
There is the potential for the KSK1 method to blood pressure patient healthcare monitoring, which is driven by artificial intelligence and is based on the Internet of Things, to completely transform the way hypertension is managed. It makes it possible to monitor patients in a precise and real-time manner, as well as to personalize treatment regimens, empower patients, and give medical professionals the capacity to make decisions based on reliable information. We should anticipate a considerable improvement in the treatment of hypertension and other chronic illnesses as a result of additional breakthroughs in this technology. For the purpose of determining how effective classifiers are, three measures are utilized. When it comes to measures, accuracy, precision, and recall are all included. In the field of healthcare provided by BP, the KSK1 technique that is currently being utilized achieves an accuracy rate that ranges from 89% to 92% for each condition.