Decision support heart disease detection system using decision tree technique / Muhammad Adam Hasanuddin

Decision tree classifier technique has been implemented in various field or research. In this project, it focuses on finding the probability of having the heart disease symptoms. Decision tree was implemented in the project because the technique is suitable to determine the probability of having hea...

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Main Author:	Hasanuddin, Muhammad Adam
Format:	Thesis
Language:	English
Published:	2017
Online Access:	https://ir.uitm.edu.my/id/eprint/18179/2/TD_MUHAMMAD%20ADAM%20HASANUDDIN%20CS%2017_5.pdf
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id	my-uitm-ir.18179
record_format	uketd_dc
spelling	my-uitm-ir.181792019-02-27T08:09:01Z Decision support heart disease detection system using decision tree technique / Muhammad Adam Hasanuddin 2017 Hasanuddin, Muhammad Adam Decision tree classifier technique has been implemented in various field or research. In this project, it focuses on finding the probability of having the heart disease symptoms. Decision tree was implemented in the project because the technique is suitable to determine the probability of having heart disease based on the attributes. The prototype system gives prediction based on the rules created. The dataset is provided by a trusted website. Based on the interview done with the stakeholder, currently the clinic does not have a system to manage and gives prediction regarding heart disease. Plus, junior cardiologists are able to use the system as an educational tool about cardiology. System Development Life Cycle is used as the chosen methodology for this project. In the future, the system is able to be enhanced into mobile application where the user is able to use the system anywhere. 2017 Thesis https://ir.uitm.edu.my/id/eprint/18179/ https://ir.uitm.edu.my/id/eprint/18179/2/TD_MUHAMMAD%20ADAM%20HASANUDDIN%20CS%2017_5.pdf text en public dphil degree Universiti Teknologi MARA Faculty of Computer and Mathematical Sciences
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
description	Decision tree classifier technique has been implemented in various field or research. In this project, it focuses on finding the probability of having the heart disease symptoms. Decision tree was implemented in the project because the technique is suitable to determine the probability of having heart disease based on the attributes. The prototype system gives prediction based on the rules created. The dataset is provided by a trusted website. Based on the interview done with the stakeholder, currently the clinic does not have a system to manage and gives prediction regarding heart disease. Plus, junior cardiologists are able to use the system as an educational tool about cardiology. System Development Life Cycle is used as the chosen methodology for this project. In the future, the system is able to be enhanced into mobile application where the user is able to use the system anywhere.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Bachelor degree
author	Hasanuddin, Muhammad Adam
spellingShingle	Hasanuddin, Muhammad Adam Decision support heart disease detection system using decision tree technique / Muhammad Adam Hasanuddin
author_facet	Hasanuddin, Muhammad Adam
author_sort	Hasanuddin, Muhammad Adam
title	Decision support heart disease detection system using decision tree technique / Muhammad Adam Hasanuddin
title_short	Decision support heart disease detection system using decision tree technique / Muhammad Adam Hasanuddin
title_full	Decision support heart disease detection system using decision tree technique / Muhammad Adam Hasanuddin
title_fullStr	Decision support heart disease detection system using decision tree technique / Muhammad Adam Hasanuddin
title_full_unstemmed	Decision support heart disease detection system using decision tree technique / Muhammad Adam Hasanuddin
title_sort	decision support heart disease detection system using decision tree technique / muhammad adam hasanuddin
granting_institution	Universiti Teknologi MARA
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2017
url	https://ir.uitm.edu.my/id/eprint/18179/2/TD_MUHAMMAD%20ADAM%20HASANUDDIN%20CS%2017_5.pdf
_version_	1783733632509149184

Decision support heart disease detection system using decision tree technique / Muhammad Adam Hasanuddin

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