Cargando…
Machine Learning Models for Blood Glucose Level Prediction in Patients With Diabetes Mellitus: Systematic Review and Network Meta-Analysis
BACKGROUND: Machine learning (ML) models provide more choices to patients with diabetes mellitus (DM) to more properly manage blood glucose (BG) levels. However, because of numerous types of ML algorithms, choosing an appropriate model is vitally important. OBJECTIVE: In a systematic review and netw...
Autores principales: | Liu, Kui, Li, Linyi, Ma, Yifei, Jiang, Jun, Liu, Zhenhua, Ye, Zichen, Liu, Shuang, Pu, Chen, Chen, Changsheng, Wan, Yi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10696506/ http://dx.doi.org/10.2196/47833 |
Ejemplares similares
-
Machine Learning Prediction Models for Gestational Diabetes Mellitus: Meta-analysis
por: Zhang, Zheqing, et al.
Publicado: (2022) -
Implementing a Novel Machine Learning System for Nutrition Education in Diabetes Mellitus Nutritional Clinic: Predicting 1-Year Blood Glucose Control
por: Liu, Mei-Yuan, et al.
Publicado: (2023) -
Predicting three-month fasting blood glucose and glycated hemoglobin changes in patients with type 2 diabetes mellitus based on multiple machine learning algorithms
por: Tao, Xue, et al.
Publicado: (2023) -
Noninvasive Blood Glucose Concentration Measurement Based on Conservation of Energy Metabolism and Machine Learning
por: Zhu, Jianming, et al.
Publicado: (2021) -
Utility of Big Data in Predicting Short-Term Blood Glucose Levels in Type 1 Diabetes Mellitus Through Machine Learning Techniques
por: Rodríguez-Rodríguez, Ignacio, et al.
Publicado: (2019)