An Intelligent Service System Model for Chronic Diseases from the Perspective of DIKW

Abstract

Massive data resources about chronic diseases could be analyzed and organized by new information technologies to finally converge on intelligent health knowledge services. This has very significant consequences for improving health management of chronic diseases, reducing the economic burdens of patients, alleviating serious pressure on health care, and improving the current uneven distribution of medical resources. This paper appeals to DIKW, a well-known framework in the field of information science and knowledge management, to build an intelligent service system model for chronic diseases through theories and methods related to data mining, knowledge organization, artificial intelligence, and knowledge services. This model involves 3 stages: Data Acquisition and Data Processing, Ontology Construction and Semantic Annotation, and Demand Mining and Knowledge Exploitation. These stages realize a shift and transition from data to information, from information to knowledge, and from knowledge to wisdom.