Diagnosis of Leptospirosis using Fuzzy Expert System (L-FES) / Norhafishah Abu Bakar @ Che Din

Leptospirosis is an infectious disease caused by bacteria that called Leptospires. Animal such as rat, dog, and swine transmits these bacteria directly or indirectly to the human when water contaminated with animal urine touches the opening in the skin, eyes or with the mucous membranes. This diseas...

Full description

Saved in:

Bibliographic Details
Main Author:	Abu Bakar @ Che Din, Norhafishah
Format:	Thesis
Language:	English
Published:	2017
Subjects:	Instruments and machines Computer software QR Microbiology Bacteria
Online Access:	https://ir.uitm.edu.my/id/eprint/69530/1/69530.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-uitm-ir.69530
record_format	uketd_dc
spelling	my-uitm-ir.695302022-11-01T04:21:38Z Diagnosis of Leptospirosis using Fuzzy Expert System (L-FES) / Norhafishah Abu Bakar @ Che Din 2017-01 Abu Bakar @ Che Din, Norhafishah Instruments and machines Electronic Computers. Computer Science Computer software Expert systems (Computer science). Fuzzy expert systems QR Microbiology Bacteria Leptospirosis is an infectious disease caused by bacteria that called Leptospires. Animal such as rat, dog, and swine transmits these bacteria directly or indirectly to the human when water contaminated with animal urine touches the opening in the skin, eyes or with the mucous membranes. This disease were underreported because not been classified as an epidemic but it is dangerous because can lead to death. This disease happen when have flood and when doing outdoor recreation such as kayaking, water sport and others. This disease can be solved by doing blood test. However, the purpose of this system is to detect Leptospirosis at the early stage and provide advice and early treatment to prevent the virus that spread to a critical level before doing blood test. This system has three inputs and one output. The input is the symptoms of Leptospirosis are fever, headaches and muscle aches. The output is refer to the level of Leptospirosis are not infected with Leptospirosis, moderate and severe. This system uses Mamdani inference method. The result evaluated by the doctor and has a positive result when compared with expert’s data. Hopefully, this system can help others people to diagnosis diseases of Leptospirosis. Lastly hope others technique can be used to diagnosis Leptospirosis. 2017-01 Thesis https://ir.uitm.edu.my/id/eprint/69530/ https://ir.uitm.edu.my/id/eprint/69530/1/69530.pdf text en public degree Universiti Teknologi MARA, Terengganu Faculty of Computer and Mathematical Sciences Sulong, Suhana
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Sulong, Suhana
topic	Instruments and machines Instruments and machines Computer software Instruments and machines QR Microbiology Bacteria
spellingShingle	Instruments and machines Instruments and machines Computer software Instruments and machines QR Microbiology Bacteria Abu Bakar @ Che Din, Norhafishah Diagnosis of Leptospirosis using Fuzzy Expert System (L-FES) / Norhafishah Abu Bakar @ Che Din
description	Leptospirosis is an infectious disease caused by bacteria that called Leptospires. Animal such as rat, dog, and swine transmits these bacteria directly or indirectly to the human when water contaminated with animal urine touches the opening in the skin, eyes or with the mucous membranes. This disease were underreported because not been classified as an epidemic but it is dangerous because can lead to death. This disease happen when have flood and when doing outdoor recreation such as kayaking, water sport and others. This disease can be solved by doing blood test. However, the purpose of this system is to detect Leptospirosis at the early stage and provide advice and early treatment to prevent the virus that spread to a critical level before doing blood test. This system has three inputs and one output. The input is the symptoms of Leptospirosis are fever, headaches and muscle aches. The output is refer to the level of Leptospirosis are not infected with Leptospirosis, moderate and severe. This system uses Mamdani inference method. The result evaluated by the doctor and has a positive result when compared with expert’s data. Hopefully, this system can help others people to diagnosis diseases of Leptospirosis. Lastly hope others technique can be used to diagnosis Leptospirosis.
format	Thesis
qualification_level	Bachelor degree
author	Abu Bakar @ Che Din, Norhafishah
author_facet	Abu Bakar @ Che Din, Norhafishah
author_sort	Abu Bakar @ Che Din, Norhafishah
title	Diagnosis of Leptospirosis using Fuzzy Expert System (L-FES) / Norhafishah Abu Bakar @ Che Din
title_short	Diagnosis of Leptospirosis using Fuzzy Expert System (L-FES) / Norhafishah Abu Bakar @ Che Din
title_full	Diagnosis of Leptospirosis using Fuzzy Expert System (L-FES) / Norhafishah Abu Bakar @ Che Din
title_fullStr	Diagnosis of Leptospirosis using Fuzzy Expert System (L-FES) / Norhafishah Abu Bakar @ Che Din
title_full_unstemmed	Diagnosis of Leptospirosis using Fuzzy Expert System (L-FES) / Norhafishah Abu Bakar @ Che Din
title_sort	diagnosis of leptospirosis using fuzzy expert system (l-fes) / norhafishah abu bakar @ che din
granting_institution	Universiti Teknologi MARA, Terengganu
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2017
url	https://ir.uitm.edu.my/id/eprint/69530/1/69530.pdf
_version_	1783735892036288512

Diagnosis of Leptospirosis using Fuzzy Expert System (L-FES) / Norhafishah Abu Bakar @ Che Din

Similar Items