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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | DEVELOPMENT OF AN EXPERT SYSTEM FOR THE DIAGNOSES OF AMBLYOPIA |
| Authors Name: | Makolo Daniel , Akpa Johnson , Daniel Musa Alih , Yunisa Sunday , Bashir S. Tenuche |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_185330
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| Published Paper Id: | IJNRD2306371 |
| Published In: | Volume 8 Issue 6, June-2023 |
| DOI: | |
| 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 |
| Keywords: | Amblyopia, expert system, expertise, Structured Query Language (SQL), Diagnose, Knowledge-based, Symptoms, Optometry, Optician, Computerization, Design, Automation, Database Management System (DBMS), Patient, Defect. |
| Cite Article: | "DEVELOPMENT OF AN EXPERT SYSTEM FOR THE DIAGNOSES OF AMBLYOPIA", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 6, page no.d684-d706, June-2023, Available :http://www.ijnrd.org/papers/IJNRD2306371.pdf |
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| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2306371 Registration ID: 185330 Published In: Volume 8 Issue 6, June-2023 DOI (Digital Object Identifier): Page No: d684-d706 Country: -, -, - Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2306371 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2306371 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016
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