Development of prediction model for heart disease by combining clustering and classification techniques
The concerning trends in deaths related to heart disease some measures need to be in place to ensure early treatment and diagnosis of the disease. Therefore, one of the way can be done is by leveraging the abundance of medical data available. Advancement in technology today has improved the availabi...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit UTM Press
2023
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| Subjects: | |
| Online Access: | http://eprints.utm.my/108684/1/LauKeatJin2023_DevelopmentofPredictionModelforHeart.pdf http://eprints.utm.my/108684/ http://dx.doi.org/10.11113/oiji2023.11n2.280 |
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