A machine-learning approach to predict postprandial hypoglycemia

A machine-learning approach to predict postprandial hypoglycemia

Abstract Background For an effective artificial pancreas (AP) system and an improved therapeutic intervention with continuous glucose monitoring (CGM), predicting the occurrence of hypoglycemia accurately is very important. While there have been many studies reporting successful algorithms for predi...

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Bibliographic Details
Main Authors: Wonju Seo, You-Bin Lee, Seunghyun Lee, Sang-Man Jin, Sung-Min Park
Format: Article
Language:English
Published: BMC 2019-11-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Hypoglycemia
Risk prediction
Machine-learning approach
Diabetes
Online Access:http://link.springer.com/article/10.1186/s12911-019-0943-4

Internet

http://link.springer.com/article/10.1186/s12911-019-0943-4

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