Data-based algorithms and models using diabetics real data for blood glucose and hypoglycaemia prediction – A systematic literature review
作者:
Highlights:
• Hypoglycaremia is is commonly feared in patients with insulin therapy;
• The hypoglycaemia prediction has been addressed as a blood glucose prediction using continuous glucose monitoring systems;
• The importance of data- and model-fusion for the predictions;
• The potential of Artificial Intelligence and machine learning on hypoglycaemia predictions;
摘要
•Hypoglycaremia is is commonly feared in patients with insulin therapy;•The hypoglycaemia prediction has been addressed as a blood glucose prediction using continuous glucose monitoring systems;•The importance of data- and model-fusion for the predictions;•The potential of Artificial Intelligence and machine learning on hypoglycaemia predictions;
论文关键词:Hypoglycaemia or hypoglycemia,Blood glucose level,Prediction,Data-based algorithms or models,Diabetics real data
论文评审过程:Received 11 February 2020, Revised 24 May 2021, Accepted 25 May 2021, Available online 28 May 2021, Version of Record 2 June 2021.
论文官网地址:https://doi.org/10.1016/j.artmed.2021.102120