IIARD International Institute of Academic Research and Development

International Journal of Engineering and Modern Technology (IJEMT )

E-ISSN 2504-8848
P-ISSN 2695-2149
VOL. 10 NO. 8 2024
DOI: 10.56201/ijemt.v10.no8.2024.pg79.96

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Development of an Enhance Medical Intelligence Process using Ontology Based and Virtual Data Integration Technique

Agbasonu, Valerian Chinedum., Amanze, Bethran Chibuike., Eleanya, Mirian C

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Abstract

A Hybrid model for enhance medical intelligence process using ontology based and virtual data integration technique is a work that aims to build a medical system that has the ability to detect and suggest cure for an ailment with minimal effort. Healthcare system has been a major source of worry across the globe in recent time due to emergence of different types of diseases and epidemics. The number of health care personnel in various hospitals falls short of the number required most especially in terms of specialists. The medical system in Nigeria today suffers from lack of fast, accurate, reliable and intelligent software solutions that can help healthcare practitioners make decisions that would solve urgent, and in some cases, complex medical problems in real-time. Also, the cost of processing and analyzing large volumes of data in a medical environment is high most especially in terms of time consumption. So, this work proposes a patient-oriented design for integration of large volumes of data in order to improve database validity compared to procedure-oriented design that multiplies the redundancy of data. The research will address the problems, by having a hybrid of ontologies and virtual data integration in order to enhance medical intelligence process. A hybrid model for enhance medical intelligence process using ontology based and virtual data integration technique will be develop. The design provide for a database system for storing medical records, software for enhanced Medical Intelligence Process that will be more user-friendly, flexible, adaptive, intelligent, agile and automatic in integrating and analyzing medical data thereby helping medical practitioners at various levels to make realistic intelligent and real-time decision on critical health issues. Object Oriented Analysis and Design Methodology (OOADM) will adopt in the design of the system. The system will achieve integration of various patient’s medic

keywords:

Hospitals, Patients, VDI and Ontology

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