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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author Hasanuddin, Muhammad Adam
author_facet Hasanuddin, Muhammad Adam
author_sort Hasanuddin, Muhammad Adam
collection UITM
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.
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spelling oai:ir.uitm.edu.my:181792019-02-27T08:09:01Z https://ir.uitm.edu.my/id/eprint/18179/ Decision support heart disease detection system using decision tree technique / Muhammad Adam Hasanuddin 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 NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/18179/2/TD_MUHAMMAD%20ADAM%20HASANUDDIN%20CS%2017_5.pdf Decision support heart disease detection system using decision tree technique / Muhammad Adam Hasanuddin. (2017) Degree thesis, thesis, Universiti Teknologi MARA. <http://terminalib.uitm.edu.my/18179.pdf>
spellingShingle Hasanuddin, Muhammad Adam
Decision support heart disease detection system using decision tree technique / Muhammad Adam Hasanuddin
title 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_short 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
url https://ir.uitm.edu.my/id/eprint/18179/2/TD_MUHAMMAD%20ADAM%20HASANUDDIN%20CS%2017_5.pdf
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