Diagnosis of eyesight using Improved Clonal Selection Algorithm (ICLONALG) / Nor Khirda Masri

The eyesight is one of the important senses in human to perform daily activities. The untreated eye’s problem can lead to blindness and serious eye diseases such as glaucoma and cataracts. Nowadays, people are not aware with their eye’s conditions and thought it is just temporary problems and not im...

Full description

Saved in:

Bibliographic Details
Main Author:	Masri, Nor Khirda
Format:	Thesis
Language:	English
Published:	2017
Subjects:	Instruments and machines Computer software Algorithms Philosophy Constructive mathematics Mathematical logic
Online Access:	https://ir.uitm.edu.my/id/eprint/69721/1/69721.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-uitm-ir.69721
record_format	uketd_dc
spelling	my-uitm-ir.697212022-11-03T07:15:40Z Diagnosis of eyesight using Improved Clonal Selection Algorithm (ICLONALG) / Nor Khirda Masri 2017-01 Masri, Nor Khirda Instruments and machines Electronic Computers. Computer Science Evolutionary programming (Computer science). Genetic algorithms Computer software Development. UML (Computer science) Artificial immune systems. Immunocomputers Algorithms Philosophy Constructive mathematics Algorithms Mathematical logic The eyesight is one of the important senses in human to perform daily activities. The untreated eye’s problem can lead to blindness and serious eye diseases such as glaucoma and cataracts. Nowadays, people are not aware with their eye’s conditions and thought it is just temporary problems and not important to take care about. They only realize when their eye’s condition has become worst. So, it is difficult for the doctors to diagnose the problems when their eye’s condition became worst. Therefore, in order to provide the excellent eyesight’s problem care, it needs an intelligent diagnostic of the eyesight to detect the classification of eyesight diseases. This study aims to implement the classification algorithm using the Improved Clonal Selection Algorithm (ICLONALG) to classify the eyesight’s problems. The principle of ICLONALG is to select the best cells to be cloned and mutated by calculating similarity measurements of the most competent cells. The improvement of ICLONALG applied is creating memory cells by dividing the datasets into local group of k-size so that each dataset belongs to at least a group and calculating the center of each group that will be selected to the next process but still used the same cloning and mutation process. In this paper, ICLONALG is implemented to classify the eyesight problems and provide a prototype to diagnose the eye diseases. The data used is collected from the survey of patients in Hospital Sultanah Nur Zahirah which has thirteen parameters of symptoms for eye diseases. The implementation of the algorithm has several step and process to take which are discussed in details in this paper. This system will ease the users and the doctors especially the new doctors to check on the eye diseases. This system is evaluated by calculating the accuracy of the classification of the eye’s diseases. The result showed 50% in accuracy and gives the classification of the eye diseases that the user has suffered where the eye diseases can be classified into four types of eye diseases. For the future work, this experiment could be proceeding by adding more types of eye diseases that can be diagnosed. 2017-01 Thesis https://ir.uitm.edu.my/id/eprint/69721/ https://ir.uitm.edu.my/id/eprint/69721/1/69721.pdf text en public degree Universiti Teknologi MARA, Terengganu Faculty of Computer and Mathematical Sciences Puteh, Mazidah
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Puteh, Mazidah
topic	Instruments and machines Instruments and machines Instruments and machines Computer software Instruments and machines Instruments and machines Algorithms Philosophy Constructive mathematics Algorithms Mathematical logic
spellingShingle	Instruments and machines Instruments and machines Instruments and machines Computer software Instruments and machines Instruments and machines Algorithms Philosophy Constructive mathematics Algorithms Mathematical logic Masri, Nor Khirda Diagnosis of eyesight using Improved Clonal Selection Algorithm (ICLONALG) / Nor Khirda Masri
description	The eyesight is one of the important senses in human to perform daily activities. The untreated eye’s problem can lead to blindness and serious eye diseases such as glaucoma and cataracts. Nowadays, people are not aware with their eye’s conditions and thought it is just temporary problems and not important to take care about. They only realize when their eye’s condition has become worst. So, it is difficult for the doctors to diagnose the problems when their eye’s condition became worst. Therefore, in order to provide the excellent eyesight’s problem care, it needs an intelligent diagnostic of the eyesight to detect the classification of eyesight diseases. This study aims to implement the classification algorithm using the Improved Clonal Selection Algorithm (ICLONALG) to classify the eyesight’s problems. The principle of ICLONALG is to select the best cells to be cloned and mutated by calculating similarity measurements of the most competent cells. The improvement of ICLONALG applied is creating memory cells by dividing the datasets into local group of k-size so that each dataset belongs to at least a group and calculating the center of each group that will be selected to the next process but still used the same cloning and mutation process. In this paper, ICLONALG is implemented to classify the eyesight problems and provide a prototype to diagnose the eye diseases. The data used is collected from the survey of patients in Hospital Sultanah Nur Zahirah which has thirteen parameters of symptoms for eye diseases. The implementation of the algorithm has several step and process to take which are discussed in details in this paper. This system will ease the users and the doctors especially the new doctors to check on the eye diseases. This system is evaluated by calculating the accuracy of the classification of the eye’s diseases. The result showed 50% in accuracy and gives the classification of the eye diseases that the user has suffered where the eye diseases can be classified into four types of eye diseases. For the future work, this experiment could be proceeding by adding more types of eye diseases that can be diagnosed.
format	Thesis
qualification_level	Bachelor degree
author	Masri, Nor Khirda
author_facet	Masri, Nor Khirda
author_sort	Masri, Nor Khirda
title	Diagnosis of eyesight using Improved Clonal Selection Algorithm (ICLONALG) / Nor Khirda Masri
title_short	Diagnosis of eyesight using Improved Clonal Selection Algorithm (ICLONALG) / Nor Khirda Masri
title_full	Diagnosis of eyesight using Improved Clonal Selection Algorithm (ICLONALG) / Nor Khirda Masri
title_fullStr	Diagnosis of eyesight using Improved Clonal Selection Algorithm (ICLONALG) / Nor Khirda Masri
title_full_unstemmed	Diagnosis of eyesight using Improved Clonal Selection Algorithm (ICLONALG) / Nor Khirda Masri
title_sort	diagnosis of eyesight using improved clonal selection algorithm (iclonalg) / nor khirda masri
granting_institution	Universiti Teknologi MARA, Terengganu
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2017
url	https://ir.uitm.edu.my/id/eprint/69721/1/69721.pdf
_version_	1783735904422068224

Diagnosis of eyesight using Improved Clonal Selection Algorithm (ICLONALG) / Nor Khirda Masri

Similar Items