Mobile Fever Diagnosis Expert System (MFDES) / Mohd Nashrullah Zulfakar

The problem in most of the clinics around the world is the procedure of the patient to see the doctor. Patient need to register, queuing and this will consuming time. A Mobile Fever Diagnosis Expert System (MFDES) is developed to reduce the waiting time of the patient to see doctor for a treatment....

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Main Author: Zulfakar, Mohd Nashrullah
Format: Thesis
Language:English
Published: 2014
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/64292/2/64292.pdf
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spelling my-uitm-ir.642922022-08-23T02:16:32Z Mobile Fever Diagnosis Expert System (MFDES) / Mohd Nashrullah Zulfakar 2014 Zulfakar, Mohd Nashrullah Electronic Computers. Computer Science Mobile computing Android Fuzzy logic The problem in most of the clinics around the world is the procedure of the patient to see the doctor. Patient need to register, queuing and this will consuming time. A Mobile Fever Diagnosis Expert System (MFDES) is developed to reduce the waiting time of the patient to see doctor for a treatment. The scope of this MFDES is for two type of fever that was the normal fever and dengue fever. This research has conducted in the Unit Kesihatan (UK) UiTM Seri Iskandar Perak. This MFDES was developed in android platform using the Visual Basic Language Programming. The MFDES is implemented through the rule-based expert system rule using IF THEN rule. The MFDES is able to diagnose fever based on the symptoms given in the system and provide recommendation of the medicine depending on disease. The results from this project MFDES has reduce time that doctor take to diagnose patient if the patient disease was fever type. The MFDES can be enhanced by adding more function, adding more type of fever and developed it into another programming language. Summary of MFDES based on finding and analysis show that MFDES diagnose faster than the manual diagnose. 2014 Thesis https://ir.uitm.edu.my/id/eprint/64292/ https://ir.uitm.edu.my/id/eprint/64292/2/64292.pdf text en public degree Universiti Teknologi MARA, Perak Faculty of Computer and Mathematical Sciences Wajihan, Bohari
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
advisor Wajihan, Bohari
topic Electronic Computers
Computer Science
Mobile computing
Android
Fuzzy logic
spellingShingle Electronic Computers
Computer Science
Mobile computing
Android
Fuzzy logic
Zulfakar, Mohd Nashrullah
Mobile Fever Diagnosis Expert System (MFDES) / Mohd Nashrullah Zulfakar
description The problem in most of the clinics around the world is the procedure of the patient to see the doctor. Patient need to register, queuing and this will consuming time. A Mobile Fever Diagnosis Expert System (MFDES) is developed to reduce the waiting time of the patient to see doctor for a treatment. The scope of this MFDES is for two type of fever that was the normal fever and dengue fever. This research has conducted in the Unit Kesihatan (UK) UiTM Seri Iskandar Perak. This MFDES was developed in android platform using the Visual Basic Language Programming. The MFDES is implemented through the rule-based expert system rule using IF THEN rule. The MFDES is able to diagnose fever based on the symptoms given in the system and provide recommendation of the medicine depending on disease. The results from this project MFDES has reduce time that doctor take to diagnose patient if the patient disease was fever type. The MFDES can be enhanced by adding more function, adding more type of fever and developed it into another programming language. Summary of MFDES based on finding and analysis show that MFDES diagnose faster than the manual diagnose.
format Thesis
qualification_level Bachelor degree
author Zulfakar, Mohd Nashrullah
author_facet Zulfakar, Mohd Nashrullah
author_sort Zulfakar, Mohd Nashrullah
title Mobile Fever Diagnosis Expert System (MFDES) / Mohd Nashrullah Zulfakar
title_short Mobile Fever Diagnosis Expert System (MFDES) / Mohd Nashrullah Zulfakar
title_full Mobile Fever Diagnosis Expert System (MFDES) / Mohd Nashrullah Zulfakar
title_fullStr Mobile Fever Diagnosis Expert System (MFDES) / Mohd Nashrullah Zulfakar
title_full_unstemmed Mobile Fever Diagnosis Expert System (MFDES) / Mohd Nashrullah Zulfakar
title_sort mobile fever diagnosis expert system (mfdes) / mohd nashrullah zulfakar
granting_institution Universiti Teknologi MARA, Perak
granting_department Faculty of Computer and Mathematical Sciences
publishDate 2014
url https://ir.uitm.edu.my/id/eprint/64292/2/64292.pdf
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