A Multimedia Medical Expert System for Human Diseases Diagnosis

With the great expansion and development of computer science and its systems. Its applications are used in most areas of life, which facilitated the solution of many simple and complex issues, as it was used in multiple fields, including the medical field, where computer applications were designed t...

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Main Authors: Ahmed Ameen, Baydaa Khaleel
Format: Article
Language:Arabic
Published: Mosul University 2021-06-01
Series:Al-Rafidain Journal of Computer Sciences and Mathematics
Subjects:
Online Access:https://csmj.mosuljournals.com/article_168265_22ff3b808ad1b6493c628aaf541e6f4a.pdf
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author Ahmed Ameen
Baydaa Khaleel
author_facet Ahmed Ameen
Baydaa Khaleel
author_sort Ahmed Ameen
collection DOAJ
description With the great expansion and development of computer science and its systems. Its applications are used in most areas of life, which facilitated the solution of many simple and complex issues, as it was used in multiple fields, including the medical field, where computer applications were designed to help the specialist doctor in his work and reduce the time in diagnosis. In this research, an expert system is built, which is one of the artificial intelligence techniques, using the advanced (forward) sequencing algorithms also called data-directed inference, and the algorithm. Backward (backward) sequence, also called target-directed inference, to diagnose the most common diseases to which a person is exposed. It is supported by multimedia, which includes (text, images, audio, and video) to reach a solution to the problem through dialogue with the user and rely on the stored knowledge as a base on which the inference engine represented by the two algorithms to reach to solutions, instructions and recommendations to diagnose the disease and give the appropriate treatment. These solutions are given to users in several forms using multimedia (text, pictures, audio and video) and this system is used by people who cannot reach a doctor or hospital for any reason. This system consists of major parts, which are the knowledge base that organizes the collection of facts the laws and the inference engine, which in turn include the Forward Chaining and Backward Chaining algorithms. These diseases in order to reach a diagnosis of the disease with high accuracy, and this leads to reducing medical errors. The proposed system can be used as a substitute for the doctor in diagnosing some diseases in general and some diseases in particular. Which is useful in cases where the doctor is absent due to natural conditions or emergency situations, or when it is difficult for the patient to reach hospitals or health centers.
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spelling doaj.art-b6551e6359db4bfab6c5cd205411c9172022-12-22T04:11:06ZaraMosul UniversityAl-Rafidain Journal of Computer Sciences and Mathematics1815-48162311-79902021-06-0115113114610.33899/csmj.2021.168265168265A Multimedia Medical Expert System for Human Diseases DiagnosisAhmed Ameen0Baydaa Khaleel1Department of Computer Science, College of Computer Science and Mathematics University of Mosul, Mosul, IraqCollege of Computer Science and Mathematics University of MosulWith the great expansion and development of computer science and its systems. Its applications are used in most areas of life, which facilitated the solution of many simple and complex issues, as it was used in multiple fields, including the medical field, where computer applications were designed to help the specialist doctor in his work and reduce the time in diagnosis. In this research, an expert system is built, which is one of the artificial intelligence techniques, using the advanced (forward) sequencing algorithms also called data-directed inference, and the algorithm. Backward (backward) sequence, also called target-directed inference, to diagnose the most common diseases to which a person is exposed. It is supported by multimedia, which includes (text, images, audio, and video) to reach a solution to the problem through dialogue with the user and rely on the stored knowledge as a base on which the inference engine represented by the two algorithms to reach to solutions, instructions and recommendations to diagnose the disease and give the appropriate treatment. These solutions are given to users in several forms using multimedia (text, pictures, audio and video) and this system is used by people who cannot reach a doctor or hospital for any reason. This system consists of major parts, which are the knowledge base that organizes the collection of facts the laws and the inference engine, which in turn include the Forward Chaining and Backward Chaining algorithms. These diseases in order to reach a diagnosis of the disease with high accuracy, and this leads to reducing medical errors. The proposed system can be used as a substitute for the doctor in diagnosing some diseases in general and some diseases in particular. Which is useful in cases where the doctor is absent due to natural conditions or emergency situations, or when it is difficult for the patient to reach hospitals or health centers.https://csmj.mosuljournals.com/article_168265_22ff3b808ad1b6493c628aaf541e6f4a.pdfartificial intelligenceadvanced (forward) sequencing algorithmsbackward (backward) sequence
spellingShingle Ahmed Ameen
Baydaa Khaleel
A Multimedia Medical Expert System for Human Diseases Diagnosis
Al-Rafidain Journal of Computer Sciences and Mathematics
artificial intelligence
advanced (forward) sequencing algorithms
backward (backward) sequence
title A Multimedia Medical Expert System for Human Diseases Diagnosis
title_full A Multimedia Medical Expert System for Human Diseases Diagnosis
title_fullStr A Multimedia Medical Expert System for Human Diseases Diagnosis
title_full_unstemmed A Multimedia Medical Expert System for Human Diseases Diagnosis
title_short A Multimedia Medical Expert System for Human Diseases Diagnosis
title_sort multimedia medical expert system for human diseases diagnosis
topic artificial intelligence
advanced (forward) sequencing algorithms
backward (backward) sequence
url https://csmj.mosuljournals.com/article_168265_22ff3b808ad1b6493c628aaf541e6f4a.pdf
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