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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Bibliographic Details

Main Author:	Dzakiyullah, Nur Rachman
Format:	Thesis
Language:	en
Published:	2025
Subjects:	Q Science QA Mathematics
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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