Healthyheart data visualization: predicting heart condition using machine learning.
This paper deals with the primary cause of mortality in society which is heart disease. Neglecting this disease will expose you to incredibly serious risks and consequences. The factors that contribute to the increment of mortality are lifestyle and lack of awareness in society. Heart disease can st...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Semarak Ilmu Publishing
2023
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| Online Access: | http://eprints.utm.my/106016/1/ZatulAlwaniShaffiei2023_HealthyHeartVisualizationPredictingHeartCondition.pdf |
| _version_ | 1811132253439262720 |
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| author | Masturina Nazurah, Masturina Nazurah Shaffiei, Zatul Amilah Daud, Nor Aziah Ahmad, Nor Diana Shaffiei, Zatul Alwani |
| author_facet | Masturina Nazurah, Masturina Nazurah Shaffiei, Zatul Amilah Daud, Nor Aziah Ahmad, Nor Diana Shaffiei, Zatul Alwani |
| author_sort | Masturina Nazurah, Masturina Nazurah |
| collection | ePrints |
| description | This paper deals with the primary cause of mortality in society which is heart disease. Neglecting this disease will expose you to incredibly serious risks and consequences. The factors that contribute to the increment of mortality are lifestyle and lack of awareness in society. Heart disease can strike anyone, regardless of age or gender. What makes it different is the risk level of each factor. Due to that, an awareness campaign towards this disease must be taken seriously so that early diagnosis of this disease can be made to avoid harmful scenarios. Thus, HealthyHeart comes to the rescue, where the features included in this dashboard are predictive models using machine learning to predict heart conditions. To complete the dashboard, Agile methodology has been used with the OSEMN model which focuses on the public user needs. Finally, the finding shows that HealthyHeart is a good dashboard as it provides information about users' heart disease risk assessment and added information that can help them to get educated about heart disease and its risk. By knowing this knowledge, people will be aware of their health and take a precautious step to prevent and maybe reduce heart disease cases. |
| first_indexed | 2024-09-24T00:00:22Z |
| format | Article |
| id | utm.eprints-106016 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-09-24T00:00:22Z |
| publishDate | 2023 |
| publisher | Semarak Ilmu Publishing |
| record_format | dspace |
| spelling | utm.eprints-1060162024-05-29T06:33:29Z http://eprints.utm.my/106016/ Healthyheart data visualization: predicting heart condition using machine learning. Masturina Nazurah, Masturina Nazurah Shaffiei, Zatul Amilah Daud, Nor Aziah Ahmad, Nor Diana Shaffiei, Zatul Alwani T Technology (General) TJ Mechanical engineering and machinery This paper deals with the primary cause of mortality in society which is heart disease. Neglecting this disease will expose you to incredibly serious risks and consequences. The factors that contribute to the increment of mortality are lifestyle and lack of awareness in society. Heart disease can strike anyone, regardless of age or gender. What makes it different is the risk level of each factor. Due to that, an awareness campaign towards this disease must be taken seriously so that early diagnosis of this disease can be made to avoid harmful scenarios. Thus, HealthyHeart comes to the rescue, where the features included in this dashboard are predictive models using machine learning to predict heart conditions. To complete the dashboard, Agile methodology has been used with the OSEMN model which focuses on the public user needs. Finally, the finding shows that HealthyHeart is a good dashboard as it provides information about users' heart disease risk assessment and added information that can help them to get educated about heart disease and its risk. By knowing this knowledge, people will be aware of their health and take a precautious step to prevent and maybe reduce heart disease cases. Semarak Ilmu Publishing 2023-04-20 Article PeerReviewed application/pdf en http://eprints.utm.my/106016/1/ZatulAlwaniShaffiei2023_HealthyHeartVisualizationPredictingHeartCondition.pdf Masturina Nazurah, Masturina Nazurah and Shaffiei, Zatul Amilah and Daud, Nor Aziah and Ahmad, Nor Diana and Shaffiei, Zatul Alwani (2023) Healthyheart data visualization: predicting heart condition using machine learning. Journal of Advanced Research in Applied Mechanics, 105 (1). pp. 41-57. ISSN 2289-7895 https://doi.org/10.37934/aram.105.1.4157 DOI: 10.37934/aram.105.1.4157 |
| spellingShingle | T Technology (General) TJ Mechanical engineering and machinery Masturina Nazurah, Masturina Nazurah Shaffiei, Zatul Amilah Daud, Nor Aziah Ahmad, Nor Diana Shaffiei, Zatul Alwani Healthyheart data visualization: predicting heart condition using machine learning. |
| title | Healthyheart data visualization: predicting heart condition using machine learning. |
| title_full | Healthyheart data visualization: predicting heart condition using machine learning. |
| title_fullStr | Healthyheart data visualization: predicting heart condition using machine learning. |
| title_full_unstemmed | Healthyheart data visualization: predicting heart condition using machine learning. |
| title_short | Healthyheart data visualization: predicting heart condition using machine learning. |
| title_sort | healthyheart data visualization predicting heart condition using machine learning |
| topic | T Technology (General) TJ Mechanical engineering and machinery |
| url | http://eprints.utm.my/106016/1/ZatulAlwaniShaffiei2023_HealthyHeartVisualizationPredictingHeartCondition.pdf |
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