Mobile fever diagnosis expert system / Mohd Nashrullah Zulfakar

Mohd Nashrullah, Zulfakar (2014) Mobile fever diagnosis expert system / Mohd Nashrullah Zulfakar. Degree thesis, Universiti Teknologi MARA Cawangan Perak.


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.


Item Type: Thesis (Degree)
Email / ID Num.
Mohd Nashrullah, Zulfakar
Email / ID Num.
Thesis advisor
Bohari, Wahijan
Subjects: R Medicine > R Medicine (General) > Neural Networks (Computer). Artificial intelligence
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Cell phones
Divisions: Universiti Teknologi MARA, Perak > Tapah Campus > Faculty of Computer and Mathematical Sciences
Keywords: mobile fever diagnosis, expert system, medical diagnosis
Date: 26 January 2014
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