Bayesian Islamic medication expert system (B-IMES)
This paper discusses on the development of an expert system (ES) that applies Bayesian Probability concept for Islamic Medication practice that is made available on web platform. This ES allows user to choose sickness such as headache, stomachache, toothache and etc that he/she may have and list of...
Main Authors: | , , , |
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Format: | Conference or Workshop Item |
Language: | English |
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2015
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Online Access: | https://repo.uum.edu.my/id/eprint/16801/1/6.pdf |
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author | Daud, Hanita Razali, Radzuan Jung, Low Tan Zaida, Shahnaz |
author_facet | Daud, Hanita Razali, Radzuan Jung, Low Tan Zaida, Shahnaz |
author_sort | Daud, Hanita |
collection | UUM |
description | This paper discusses on the development of an expert system (ES) that applies Bayesian Probability concept for Islamic Medication practice that is made available on web platform. This ES allows user to choose sickness such as headache, stomachache, toothache and etc that he/she may have and list of symptoms related to the sickness will appear for the user to choose. Once symptom(s) is/are chosen the diagnosis is being carried out to suggest percentage of possible specific sickness such as classic migraine, common migraine, tension headache and etc if headache was chosen. This diagnosis is being carried out using Bayes’ Theorem and the ES will suggest the treatments or therapy that he/she needs to perform in reference to Muslim Holy Quran and Hadith. This ES was developed to preserve Islamic medication and to create awareness among the young generation and make it accessible at anytime and anywhere and to save users time to meet Islamic Medication practitioners who are not easily available in Malaysia and other parts of the world. |
first_indexed | 2024-07-04T06:03:12Z |
format | Conference or Workshop Item |
id | uum-16801 |
institution | Universiti Utara Malaysia |
language | English |
last_indexed | 2024-07-04T06:03:12Z |
publishDate | 2015 |
record_format | dspace |
spelling | uum-168012016-04-27T02:28:46Z https://repo.uum.edu.my/id/eprint/16801/ Bayesian Islamic medication expert system (B-IMES) Daud, Hanita Razali, Radzuan Jung, Low Tan Zaida, Shahnaz QA75 Electronic computers. Computer science This paper discusses on the development of an expert system (ES) that applies Bayesian Probability concept for Islamic Medication practice that is made available on web platform. This ES allows user to choose sickness such as headache, stomachache, toothache and etc that he/she may have and list of symptoms related to the sickness will appear for the user to choose. Once symptom(s) is/are chosen the diagnosis is being carried out to suggest percentage of possible specific sickness such as classic migraine, common migraine, tension headache and etc if headache was chosen. This diagnosis is being carried out using Bayes’ Theorem and the ES will suggest the treatments or therapy that he/she needs to perform in reference to Muslim Holy Quran and Hadith. This ES was developed to preserve Islamic medication and to create awareness among the young generation and make it accessible at anytime and anywhere and to save users time to meet Islamic Medication practitioners who are not easily available in Malaysia and other parts of the world. 2015-12-11 Conference or Workshop Item PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/16801/1/6.pdf Daud, Hanita and Razali, Radzuan and Jung, Low Tan and Zaida, Shahnaz (2015) Bayesian Islamic medication expert system (B-IMES). In: 2nd Innovation and Analytics Conference & Exhibition (IACE 2015), 29 September –1 October 2015, TH Hotel, Alor Setar, Kedah, Malaysia. http://doi.org/10.1063/1.4937022 doi:10.1063/1.4937022 doi:10.1063/1.4937022 |
spellingShingle | QA75 Electronic computers. Computer science Daud, Hanita Razali, Radzuan Jung, Low Tan Zaida, Shahnaz Bayesian Islamic medication expert system (B-IMES) |
title | Bayesian Islamic medication expert system (B-IMES) |
title_full | Bayesian Islamic medication expert system (B-IMES) |
title_fullStr | Bayesian Islamic medication expert system (B-IMES) |
title_full_unstemmed | Bayesian Islamic medication expert system (B-IMES) |
title_short | Bayesian Islamic medication expert system (B-IMES) |
title_sort | bayesian islamic medication expert system b imes |
topic | QA75 Electronic computers. Computer science |
url | https://repo.uum.edu.my/id/eprint/16801/1/6.pdf |
work_keys_str_mv | AT daudhanita bayesianislamicmedicationexpertsystembimes AT razaliradzuan bayesianislamicmedicationexpertsystembimes AT junglowtan bayesianislamicmedicationexpertsystembimes AT zaidashahnaz bayesianislamicmedicationexpertsystembimes |