Predicting and Preventing Nocturnal Hypoglycemia in Type 1 Diabetes Using Big Data Analytics and Decision Theoretic Analysis
Clara Mosquera-Lopez(Artificial Intelligence in Medicine (Canada)), Peter G. Jacobs(Oregon Health & Science University), Robert H. Dodier(Oregon Health & Science University), Leah M. Wilson(Oregon Health & Science University), Nichole S. Tyler(Oregon Health & Science University), Jessica R. Castle(Oregon Health & Science University), Joseph El Youssef(Oregon Health & Science University)
Cited by 45
Related Papers
Consensus Recommendations for the Use of Automated Insulin Delivery Technologies in Clinical Practice
|Endocrine Reviews|2022|398
A Glycemia Risk Index (GRI) of Hypoglycemia and Hyperglycemia for Continuous Glucose Monitoring Validated by Clinician Ratings
|Journal of Diabetes Science and Technology|2022|272
Outcome Measures for Artificial Pancreas Clinical Trials: A Consensus Report
|Diabetes Care|2016|215
An artificial intelligence decision support system for the management of type 1 diabetes
|Nature Metabolism|2020|157
Computer-Aided Prostate Cancer Diagnosis From Digitized Histopathology: A Review on Texture-Based Systems
|IEEE Reviews in Biomedical Engineering|2014|118