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. 9 NO. 3 2023
DOI: 10.56201/ijcsmt.v9.no3.2023.pg277.286

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Enhanced Medical Intelligence Process Using Data Visualization

Duru Rosetta., Amanze B.C., Agbasonu V.C and Agbakwuru A.O

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Abstract

This paper focused on developing an expert system for health sector that uses intelligent agent to guide doctors in accurately carrying out disease control procedures. Therefore, knowledge sharing across board for medical practitioners. Also, the ontology-based data integration (OBDI) and virtual data integration (VDI) approaches appear as a promising way to resolve semantic issues in information interoperability in medical record management. the system developed was used to manage a disease registry that consists of the concepts of the domain, the attributes characterizing each disease, the different symptoms, and treatments. Also, a relational database for storing and tracking disease outbreak and control using ontology-based data integration (OBDI) was achieved. A platform for Virtualized Data Access – Connect to different data sources and make them accessible from a common logical data access point was created which integrated an intelligent agent that uses case-based reasoning for determining the disease control procedure to be applied to patient treatment for effective control of the disease. The system achieved integration of various patients’ medical records from different hospitals using ontology based and virtual data integration technique that will allow clinic data of one patient collected together to form a combinational resource, and could be accessed by physician if authority is assigned to the physician. The Hybrid technique using both Ontology-based data integration and virtual data integration technique for disease control procedure achieved 95% accuracy in predicting the disease control procedure.

keywords:

Hospitals, Visualization, Database, Case-Based Reasoning and Patients

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