Advancing diabetes prediction with a progressive self-transfer learning framework for discrete time series data
Abstract Although diabetes mellitus is a complex and pervasive disease, most studies to date have focused on individual features, rather than considering the complexities of multivariate, multi-instance, and time-series data. In this study, we developed a novel diabetes prediction model that incorpo...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-11-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-023-48463-0 |