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Development Of an Integrated Medical Intelligence System Using Ontology and Virtual Data Integration Technique

Eze Irene Ifebechi and Ogochukwu Okeke

Abstract

The aim of this paper is to develop a system that provides for data analytic, data visualization, monitoring and reporting functionalities for clinical decision support using ontologies and data integration technique. This paper presents a medical intelligence system that involves the design and integration of healthcare information recording platform using PHP-MySQL and Java. The system developed provides for medical record storage in a decentralized database, patient’s diagnosis record, and database record sharing with other healthcare centers. The system supports clinical decisions by having an ontologies and virtual data integration in order to enhance medical intelligence process. The key concept of the developed medical intelligence system using ontology- based and virtual data integration techniques was to ensure abstraction of data that comes from multiple sources in varying schemas and to have a seamless transition from data into information, then into action. The result showed 96.7% in accuracy.

Keywords

Hospitals Data Visualization Confusion matrix database

References

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