Expert System of Heart Attack Prediction
Nowadays, heart attack become most common deadly disease in modern era. More than 80% of heart attack deaths happening in low-income and middle-income countries. The reason why these two income countries have the highest rates of heart attack deaths that is due to their financial constraints. This l...
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2019
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my-inti-eprints.13012024-04-17T03:00:18Z http://eprints.intimal.edu.my/1301/ Expert System of Heart Attack Prediction Kayalvily, Tabianan Chew, Lian Wei Deshinta, Arrova Dewi QA75 Electronic computers. Computer science QA76 Computer software Nowadays, heart attack become most common deadly disease in modern era. More than 80% of heart attack deaths happening in low-income and middle-income countries. The reason why these two income countries have the highest rates of heart attack deaths that is due to their financial constraints. This led some of them die of heart attack because they did not know their condition in advance. In order to prevent heart attack death rate increasing, the author develop an expert system that allow users to check their heart status with their mobile phone. By using this system, they can early know about their heart status and can early know if they are having a heart attack risk. For develop this proposed system, the author will be using Android technology to develop the proposed system. Next, the author also will be uses decision table to analyze the result. The research methodology will be use in this proposed project is prototyping. INTI International University 2019 Article PeerReviewed text en cc_by_4 http://eprints.intimal.edu.my/1301/1/ij2019_28.pdf Kayalvily, Tabianan and Chew, Lian Wei and Deshinta, Arrova Dewi (2019) Expert System of Heart Attack Prediction. INTI JOURNAL, 2019 (28). ISSN e2600-7320 http://intijournal.intimal.edu.my |
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QA75 Electronic computers. Computer science QA76 Computer software Kayalvily, Tabianan Chew, Lian Wei Deshinta, Arrova Dewi Expert System of Heart Attack Prediction |
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Nowadays, heart attack become most common deadly disease in modern era. More than 80% of heart attack deaths happening in low-income and middle-income countries. The reason why these two income countries have the highest rates of heart attack deaths that is due to their financial constraints. This led some of them die of heart attack because they did not know their condition in advance. In order to prevent heart attack death rate increasing, the author develop an expert system that allow users to check their heart status with their mobile phone. By using this system, they can early know about their heart status and can early know if they are having a heart attack risk. For develop this proposed system, the author will be using Android technology to develop the proposed system. Next, the author also will be uses decision table to analyze the result. The research methodology will be use in this proposed project is prototyping. |
format |
Article |
author |
Kayalvily, Tabianan Chew, Lian Wei Deshinta, Arrova Dewi |
author_facet |
Kayalvily, Tabianan Chew, Lian Wei Deshinta, Arrova Dewi |
author_sort |
Kayalvily, Tabianan |
title |
Expert System of Heart Attack Prediction |
title_short |
Expert System of Heart Attack Prediction |
title_full |
Expert System of Heart Attack Prediction |
title_fullStr |
Expert System of Heart Attack Prediction |
title_full_unstemmed |
Expert System of Heart Attack Prediction |
title_sort |
expert system of heart attack prediction |
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INTI International University |
publishDate |
2019 |
url |
http://eprints.intimal.edu.my/1301/1/ij2019_28.pdf http://eprints.intimal.edu.my/1301/ http://intijournal.intimal.edu.my |
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