Predicting and Preventing Nocturnal Hypoglycemia in Type 1 Diabetes Using Big Data Analytics and Decision Theoretic Analysis-Reference-Cited by-同舟云学术

Predicting and Preventing Nocturnal Hypoglycemia in Type 1 Diabetes Using Big Data Analytics and Decision Theoretic Analysis

Published:2020-11-01 Issue:11 Volume:22 Page:801-811
ISSN:1520-9156
Container-title:Diabetes Technology & Therapeutics
language:en
Short-container-title:Diabetes Technology & Therapeutics

Author:

Mosquera-Lopez Clara¹²,Dodier Robert¹²,Tyler Nichole S.¹²,Wilson Leah M.¹²,El Youssef Joseph¹²,Castle Jessica R.¹²,Jacobs Peter G.¹²

Affiliation:

1. Artificial Intelligence for Medical Systems (AIMS) Lab, Department of Biomedical Engineering, Oregon Health & Science University, Portland, Oregon, USA.

2. Harold Schnitzer Diabetes Health Center, Oregon Health and Science University, Portland, Oregon, USA.

Publisher

Mary Ann Liebert Inc

Subject

Medical Laboratory Technology,Endocrinology,Endocrinology, Diabetes and Metabolism

Link

https://www.liebertpub.com/doi/pdf/10.1089/dia.2019.0458

Reference47 articles.

1. Effect of intensive diabetes treatment on the development and progression of long-term complications in adolescents with insulin-dependent diabetes mellitus: Diabetes Control and Complications Trial

2. Diverse Causes of Hypoglycemia-Associated Autonomic Failure in Diabetes

3. How hypoglycaemia can affect the life of a person with diabetes

4. Prolonged Nocturnal Hypoglycemia Is Common During 12 Months of Continuous Glucose Monitoring in Children and Adults With Type 1 Diabetes

5. Defining and Reporting Hypoglycemia in Diabetes

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