Cargando…
Implementing a Novel Machine Learning System for Nutrition Education in Diabetes Mellitus Nutritional Clinic: Predicting 1-Year Blood Glucose Control
(1) Background: Persistent hyperglycemia in diabetes mellitus (DM) increases the risk of death and causes cardiovascular disease (CVD), resulting in significant social and economic costs. This study used a machine learning (ML) technique to build prediction models with the factors of lifestyle, medi...
Autores principales: | Liu, Mei-Yuan, Liu, Chung-Feng, Lin, Tzu-Chi, Ma, Yu-Shan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10604578/ https://www.ncbi.nlm.nih.gov/pubmed/37892869 http://dx.doi.org/10.3390/bioengineering10101139 |
Ejemplares similares
-
Early enteral nutrition and total parenteral nutrition on the nutritional status and blood glucose in patients with gastric cancer complicated with diabetes mellitus after radical gastrectomy
por: Wang, Junli, et al.
Publicado: (2018) -
Machine Learning in Nutrition Research
por: Kirk, Daniel, et al.
Publicado: (2022) -
Nutritional Status and Implementation of a Nutritional Education Program in Young Female Artistic Gymnasts
por: Aguilo, Antoni, et al.
Publicado: (2021) -
COVID and nutrition: A machine learning perspective
por: Jafari, Nafiseh, et al.
Publicado: (2022) -
Prospects and Pitfalls of Machine Learning in Nutritional Epidemiology
por: Russo, Stefania, et al.
Publicado: (2022)