DEVELOPMENT OF AN EXPERT SYSTEM FOR THE DIAGNOSES OF AMBLYOPIA

Registration ID: IJNRD_185330

Published ID: IJNRD2306371

DOI: Click Here to Get

Makolo Daniel , Akpa Johnson , Daniel Musa Alih , Yunisa Sunday , Bashir S. Tenuche

Amblyopia, expert system, expertise, Structured Query Language (SQL), Diagnose, Knowledge-based, Symptoms, Optometry, Optician, Computerization, Design, Automation, Database Management System (DBMS), Patient, Defect.

This work presents the design of an expert system to provide the patient with background for suitable diagnoses of an eye disease called Amblyopia. The eye has always been viewed as a tunnel to the inner working of the body. Diagnosing the disease has been difficult among some urban and rural communities because of the ignorant of its symptoms. The problem of human expertise rarely available was identified and a new system was developed so as to mimic the human expert. In the research we develop an expert system that diagnosis Amblyopia. The software was developed using PHP (Hypertext Processor 6.0) programming language and MySQL (My Structural Query Language), a rational database management system in designing the database was tested and found to have produce the expected results. The new system is flexible and can provide a platform for quick self-diagnosis for potential patients of the disease and also to guarantee a prompt healthcare to people that have Amblyopia. Diagnosis is performed via the expert system, based on patient data. The proposed system is experimented on various scenarios in order to evaluate its performance. In all the cases, proposed system exhibits satisfactory results

Published Paper   E-Certificate

Makolo Daniel, Akpa Johnson , Daniel Musa Alih , Yunisa Sunday , & Bashir S. Tenuche (June-2023). DEVELOPMENT OF AN EXPERT SYSTEM FOR THE DIAGNOSES OF AMBLYOPIA. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(6), d684-d706. https://ijnrd.org/papers/IJNRD2306371.pdf

Volume 8 Issue 6, June-2023

Pages : d684-d706

Paper Reg. ID: IJNRD_185330

Published Paper Id: IJNRD2306371

Downloads: 000121984

Research Area: Engineering

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Published Paper PDF: https://ijnrd.org/papers/IJNRD2306371.pdf

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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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