Cargando…
Advancing diabetes prediction with a progressive self-transfer learning framework for discrete time series data
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 incorporates the...
Autores principales: | Lim, Heeryung, Kim, Gihyeon, Choi, Jang-Hwan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10687240/ https://www.ncbi.nlm.nih.gov/pubmed/38030750 http://dx.doi.org/10.1038/s41598-023-48463-0 |
Ejemplares similares
-
Intra-person multi-task learning method for chronic-disease prediction
por: Kim, Gihyeon, et al.
Publicado: (2023) -
Deep Learning with Multimodal Integration for Predicting Recurrence in Patients with Non-Small Cell Lung Cancer
por: Kim, Gihyeon, et al.
Publicado: (2022) -
An introduction to discrete-valued time series
por: Weiss, Christian
Publicado: (2017) -
Handbook of discrete-valued time series
por: Davis, Richard A, et al.
Publicado: (2016) -
Smoothing, forecasting and prediction of discrete time series
por: Brown, Robert Goodell
Publicado: (1962)