Paper Title
DEVELOPMENT OF AN EXPERT SYSTEM FOR THE DIAGNOSES OF AMBLYOPIA
Article Identifiers
: Authors
Keywords
Amblyopia, expert system, expertise, Structured Query Language (SQL), Diagnose, Knowledge-based, Symptoms, Optometry, Optician, Computerization, Design, Automation, Database Management System (DBMS), Patient, Defect.
Abstract
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
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How To Cite (APA)
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
Issue
Volume 8 Issue 6, June-2023
Pages : d684-d706
Other Publication Details
Paper Reg. ID: IJNRD_185330
Published Paper Id: IJNRD2306371
Downloads: 000122253
Research Area: Engineering
Author Type: Foreign Author
Country: -, -, -
Published Paper PDF: https://ijnrd.org/papers/IJNRD2306371.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2306371
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