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...
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English English |
| Published: |
2025
|
| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/29015/ |
| Abstract | Abstract here |