Diagnosis of acne vulgaris on face using fuzzy expert system / Nur Sabrina Anuar

Acne issue especially acne vulgaris causes embarrassing, excruciating, social withdrawal, suicide, physiological and enthusiastic trouble if left untreated. Ordinarily, a dermatologist uses physical examination and lesion counting to diagnose acne. These methods are very time consuming, expensive an...

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Main Author:	Anuar, Nur Sabrina
Format:	Thesis
Language:	English
Published:	2017
Subjects:	Instruments and machines Computer software Software measurement Algorithms
Online Access:	https://ir.uitm.edu.my/id/eprint/69475/1/69475.pdf
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id	my-uitm-ir.69475
record_format	uketd_dc
spelling	my-uitm-ir.694752022-10-31T06:40:12Z Diagnosis of acne vulgaris on face using fuzzy expert system / Nur Sabrina Anuar 2017-01 Anuar, Nur Sabrina Instruments and machines Electronic Computers. Computer Science Computer software Development. UML (Computer science) Expert systems (Computer science). Fuzzy expert systems Software measurement Algorithms Acne issue especially acne vulgaris causes embarrassing, excruciating, social withdrawal, suicide, physiological and enthusiastic trouble if left untreated. Ordinarily, a dermatologist uses physical examination and lesion counting to diagnose acne. These methods are very time consuming, expensive and had a problem to standardize the grading of acne. Thus, an intelligent and accurate diagnostic system is needed in order to treat it. This project is implemented Fuzzy Expert System (FES) in detecting the severity of acne vulgaris. FES is chosen because it can model ambiguous information, an ability to reason uncertainty and imprecision of acne vulgaris information given by dermatologist during the diagnosis process. This project aims to identify the severity of acne vulgaris problem using FES algorithm and attempts to help users to diagnose acne vulgaris without taking a clinical test. Furthermore, it can be an assisting tool for an expert to diagnose acne. Thus, it can save time and cost to diagnose acne. The FES algorithm will process five input fields such as cysts, nodules, papules, pustules and comedones, and then produced one output fields which is the level of severity of acne. The project implemented based on proposed methodology approach. Hence, the result will show in the percentage that represents the severity of acne. Hopefully, this project could proceed by diagnosing other type of acne and another part of the body in the field of FES. 2017-01 Thesis https://ir.uitm.edu.my/id/eprint/69475/ https://ir.uitm.edu.my/id/eprint/69475/1/69475.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 Instruments and machines Software measurement Algorithms
spellingShingle	Instruments and machines Instruments and machines Computer software Instruments and machines Instruments and machines Software measurement Algorithms Anuar, Nur Sabrina Diagnosis of acne vulgaris on face using fuzzy expert system / Nur Sabrina Anuar
description	Acne issue especially acne vulgaris causes embarrassing, excruciating, social withdrawal, suicide, physiological and enthusiastic trouble if left untreated. Ordinarily, a dermatologist uses physical examination and lesion counting to diagnose acne. These methods are very time consuming, expensive and had a problem to standardize the grading of acne. Thus, an intelligent and accurate diagnostic system is needed in order to treat it. This project is implemented Fuzzy Expert System (FES) in detecting the severity of acne vulgaris. FES is chosen because it can model ambiguous information, an ability to reason uncertainty and imprecision of acne vulgaris information given by dermatologist during the diagnosis process. This project aims to identify the severity of acne vulgaris problem using FES algorithm and attempts to help users to diagnose acne vulgaris without taking a clinical test. Furthermore, it can be an assisting tool for an expert to diagnose acne. Thus, it can save time and cost to diagnose acne. The FES algorithm will process five input fields such as cysts, nodules, papules, pustules and comedones, and then produced one output fields which is the level of severity of acne. The project implemented based on proposed methodology approach. Hence, the result will show in the percentage that represents the severity of acne. Hopefully, this project could proceed by diagnosing other type of acne and another part of the body in the field of FES.
format	Thesis
qualification_level	Bachelor degree
author	Anuar, Nur Sabrina
author_facet	Anuar, Nur Sabrina
author_sort	Anuar, Nur Sabrina
title	Diagnosis of acne vulgaris on face using fuzzy expert system / Nur Sabrina Anuar
title_short	Diagnosis of acne vulgaris on face using fuzzy expert system / Nur Sabrina Anuar
title_full	Diagnosis of acne vulgaris on face using fuzzy expert system / Nur Sabrina Anuar
title_fullStr	Diagnosis of acne vulgaris on face using fuzzy expert system / Nur Sabrina Anuar
title_full_unstemmed	Diagnosis of acne vulgaris on face using fuzzy expert system / Nur Sabrina Anuar
title_sort	diagnosis of acne vulgaris on face using fuzzy expert system / nur sabrina anuar
granting_institution	Universiti Teknologi MARA, Terengganu
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2017
url	https://ir.uitm.edu.my/id/eprint/69475/1/69475.pdf
_version_	1783735885351616512

Diagnosis of acne vulgaris on face using fuzzy expert system / Nur Sabrina Anuar

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