Multi-label risk diabetes complication prediction model using deep neural network with multi-channel weighted dropout
The early diagnosis of diabetes complications using risk factors remains underexplored, particularly with the application of Multi-Label Classification (MLC). This study addresses this gap by leveraging data from the Behavioral Risk Factor Surveillance System (BRFSS)from 2016 to 2021 to ca...
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| Format: | Thesis |
| Language: | en |
| Published: |
2025
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| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/29015/2/Multi-label%20risk%20diabetes%20complication%20prediction%20model%20using%20deep%20neural%20network%20with%20multi-channel%20weighted%20dropout.pdf http://eprints.utem.edu.my/id/eprint/29015/ |
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