Incorporation of Agents with Ontology to Develop a Healthcare Assessment Provision System
Yogesh Hole, Alaa. Shather, Ali Hussein Alrubayi, Hawraa Ali Sabah, Hayder Al-Ghanimi, Haider Alchilibi · 2023
Extracting useful patient information from a multitude of web pages and traditional hospital systems, and afterwards displaying these search results in a comprehensible manner, is a challenging undertaking. This is achieved via the implementation of conventional methodologies that aid in the anticipation of infections and ailments, such as heart attacks and several others. However, a disheartening aspect is that these conventional approaches were inadequate in detecting early indications of the human health system. The resolution to this issue may be found by utilizing an agent-based integration method, facilitated by the utilization of ontologies. This research focuses on the integration of data linked to human health, both structured and unstructured, using a suggested system that utilizes ontological-based agents. These agents work together to coordinate and semantically integrate external data sources. The process of integrating data leads to the derivation of new knowledge based on a set of rules, so transforming it into a multi-agent decision support system. The algorithm under consideration demonstrates the capability to forecast individuals' health state by analyzing their performed activities. The study provides a comprehensive analysis of a methodology that focuses on human daily activities, specifically targeting the improvement of cardiovascular health in individuals.