Semantic-Based Approach for Automatic Annotation and Classification of Medical Services in Healthcare Ecosystem

Abstract

A vast amount of related healthcare information exists over the web without any explicit semantic association. Healthcare ecosystem makes use of medical services for the services entities of publishing and classification. However, before the emergence of healthcare ecosystems, where ecosystems are generally present in the environment, medical service and healthcare information are diverse. Therefore, the first medical service is a key issue to deal with information systems in the healthcare environment. In this paper, we propose health-related clinical data annotation, classification, and interpretation of medical data in relation to the level of classification based on the existence of the frame, and for improving the customer’s request to present a semantic-based Web mining. In addition, we classify medical data in relation to the level of clustering based on the use of healthcare information. Information relevant to the development of semantic information extraction can be achieved using a better phrase. Highly relevant improved information requested can be retrieved by deployment of additional medical terms. Our experimental evaluation results and the feasibility of assessing the impact of the proposed mining method show improvisation.