Stage detection of Alzheimer Disease using Adaptive Neuro Fuzzy Inference System (ANFIS) / Fateen Nur Nadhira Kamal Ariffin

WHO reported that Alzheimer Disease is the forth common disease suffered by people around the world. Similar to any disease, acknowledgement of the disease stage suffered by the patient is important so that the patients can get the right medical treatment. Current diagnosis used is by using clinical...

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Main Author:	Kamal Ariffin, Fateen Nur Nadhira
Format:	Thesis
Language:	English
Published:	2017
Subjects:	Fuzzy arithmetic Decision theory Fuzzy decision making Instruments and machines Neural networks (Computer science) Algorithms Fuzzy logic
Online Access:	https://ir.uitm.edu.my/id/eprint/69550/1/69550.pdf
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id	my-uitm-ir.69550
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spelling	my-uitm-ir.695502022-11-01T04:21:26Z Stage detection of Alzheimer Disease using Adaptive Neuro Fuzzy Inference System (ANFIS) / Fateen Nur Nadhira Kamal Ariffin 2017-01 Kamal Ariffin, Fateen Nur Nadhira Fuzzy arithmetic Mathematical statistics. Probabilities Decision theory Fuzzy decision making Instruments and machines Electronic Computers. Computer Science Expert systems (Computer science). Fuzzy expert systems Neural networks (Computer science) Artificial immune systems. Immunocomputers Algorithms Fuzzy logic WHO reported that Alzheimer Disease is the forth common disease suffered by people around the world. Similar to any disease, acknowledgement of the disease stage suffered by the patient is important so that the patients can get the right medical treatment. Current diagnosis used is by using clinical tests which are Mini-Mental State Examination (MMSE) and Clinical Dementia Rating (CDR). These clinical tests may lead to human error since the patients need to do the test by themselves. The other diagnosis is by assessing neuroimaging where the brain Magnetic Resonance Imaging (MRI) is checked by the doctors to conclude which stage is suffered by the patient. This type of diagnosis takes time and hard since they will have to deal with large data sets. The main objective of this project is to develop the system that helps classifying the stages of Alzheimer disease using Adaptive Neuro Fuzzy Inference System (ANFIS). Then, the output from this system is the stage of AD and the right medical treatment to the patient. ANFIS is the hybrid algorithm that combined Artificial Neural Network (ANN) and Fuzzy Inference System (FIS). It acts as an engine to classify AD stages in this system. The data divided into two parts which are testing part and training part. The result of the system has been checked by using accuracy test that shows the percentage of the ANFIS classifier. As for training part, it shows 72% rate and as for testing part, it shows 60% rate of accuracy test. Future work of this project is to improve the result by applying ANFIS in other areas. 2017-01 Thesis https://ir.uitm.edu.my/id/eprint/69550/ https://ir.uitm.edu.my/id/eprint/69550/1/69550.pdf text en public degree Universiti Teknologi MARA, Terengganu Faculty of Computer and Mathematical Sciences Sa’dan, Siti ‘Aisyah
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Sa’dan, Siti ‘Aisyah
topic	Fuzzy arithmetic Fuzzy arithmetic Decision theory Fuzzy decision making Instruments and machines Fuzzy arithmetic Fuzzy arithmetic Neural networks (Computer science) Fuzzy arithmetic Algorithms Fuzzy logic
spellingShingle	Fuzzy arithmetic Fuzzy arithmetic Decision theory Fuzzy decision making Instruments and machines Fuzzy arithmetic Fuzzy arithmetic Neural networks (Computer science) Fuzzy arithmetic Algorithms Fuzzy logic Kamal Ariffin, Fateen Nur Nadhira Stage detection of Alzheimer Disease using Adaptive Neuro Fuzzy Inference System (ANFIS) / Fateen Nur Nadhira Kamal Ariffin
description	WHO reported that Alzheimer Disease is the forth common disease suffered by people around the world. Similar to any disease, acknowledgement of the disease stage suffered by the patient is important so that the patients can get the right medical treatment. Current diagnosis used is by using clinical tests which are Mini-Mental State Examination (MMSE) and Clinical Dementia Rating (CDR). These clinical tests may lead to human error since the patients need to do the test by themselves. The other diagnosis is by assessing neuroimaging where the brain Magnetic Resonance Imaging (MRI) is checked by the doctors to conclude which stage is suffered by the patient. This type of diagnosis takes time and hard since they will have to deal with large data sets. The main objective of this project is to develop the system that helps classifying the stages of Alzheimer disease using Adaptive Neuro Fuzzy Inference System (ANFIS). Then, the output from this system is the stage of AD and the right medical treatment to the patient. ANFIS is the hybrid algorithm that combined Artificial Neural Network (ANN) and Fuzzy Inference System (FIS). It acts as an engine to classify AD stages in this system. The data divided into two parts which are testing part and training part. The result of the system has been checked by using accuracy test that shows the percentage of the ANFIS classifier. As for training part, it shows 72% rate and as for testing part, it shows 60% rate of accuracy test. Future work of this project is to improve the result by applying ANFIS in other areas.
format	Thesis
qualification_level	Bachelor degree
author	Kamal Ariffin, Fateen Nur Nadhira
author_facet	Kamal Ariffin, Fateen Nur Nadhira
author_sort	Kamal Ariffin, Fateen Nur Nadhira
title	Stage detection of Alzheimer Disease using Adaptive Neuro Fuzzy Inference System (ANFIS) / Fateen Nur Nadhira Kamal Ariffin
title_short	Stage detection of Alzheimer Disease using Adaptive Neuro Fuzzy Inference System (ANFIS) / Fateen Nur Nadhira Kamal Ariffin
title_full	Stage detection of Alzheimer Disease using Adaptive Neuro Fuzzy Inference System (ANFIS) / Fateen Nur Nadhira Kamal Ariffin
title_fullStr	Stage detection of Alzheimer Disease using Adaptive Neuro Fuzzy Inference System (ANFIS) / Fateen Nur Nadhira Kamal Ariffin
title_full_unstemmed	Stage detection of Alzheimer Disease using Adaptive Neuro Fuzzy Inference System (ANFIS) / Fateen Nur Nadhira Kamal Ariffin
title_sort	stage detection of alzheimer disease using adaptive neuro fuzzy inference system (anfis) / fateen nur nadhira kamal ariffin
granting_institution	Universiti Teknologi MARA, Terengganu
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2017
url	https://ir.uitm.edu.my/id/eprint/69550/1/69550.pdf
_version_	1783735892787068928

Stage detection of Alzheimer Disease using Adaptive Neuro Fuzzy Inference System (ANFIS) / Fateen Nur Nadhira Kamal Ariffin

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