Personalized glucose forecasting for type 2 diabetes using data assimilation
Published 2017 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Personalized glucose forecasting for type 2 diabetes using data assimilation
Authors
Keywords
Glucose, Diabetes mellitus, Forecasting, Type 2 diabetes, HbA1c, Blood sugar, Nutrition, Carbohydrates
Journal
PLoS Computational Biology
Volume 13, Issue 4, Pages e1005232
Publisher
Public Library of Science (PLoS)
Online
2017-04-28
DOI
10.1371/journal.pcbi.1005232
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A data driven nonlinear stochastic model for blood glucose dynamics
- (2016) Yan Zhang et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Personalized Nutrition by Prediction of Glycemic Responses
- (2015) David Zeevi et al. CELL
- Detection of Abnormalities in Type II Diabetic Patients Using Particle Filters
- (2015) Omid Vahidi et al. Journal of Medical and Biological Engineering
- Assessment of type II diabetes mellitus using irregularly sampled measurements with missing data
- (2014) Melissa Barazandegan et al. BIOPROCESS AND BIOSYSTEMS ENGINEERING
- Multiple-Input Subject-Specific Modeling of Plasma Glucose Concentration for Feedforward Control
- (2014) Kaylee Kotz et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- Parameter estimation for stiff deterministic dynamical systems via ensemble Kalman filter
- (2014) Andrea Arnold et al. INVERSE PROBLEMS
- Dynamical Phenotyping: Using Temporal Analysis of Clinically Collected Physiologic Data to Stratify Populations
- (2014) D. J. Albers et al. PLoS One
- The mathematician's control toolbox for management of type 1 diabetes
- (2014) M. Csete et al. Interface Focus
- Standards of Medical Care in Diabetes--2014
- (2013) DIABETES CARE
- American Association of Clinical Endocrinologists Medical Guidelines for Clinical Practice for Developing a Diabetes Mellitus Comprehensive Care Plan: Executive Summary
- (2013) Yehuda Handelsman et al. Endocrine Practice
- Development and validation of a predictive model of acute glucose response to exercise in individuals with type 2 diabetes
- (2013) Bryan S Gibson et al. Diabetology & Metabolic Syndrome
- A feedback glucose control strategy for type II diabetes mellitus based on fuzzy logic
- (2012) F. Ekram et al. CANADIAN JOURNAL OF CHEMICAL ENGINEERING
- Efficacy of a Computerized Simulation in Promoting Walking in Individuals With Diabetes
- (2012) Bryan Gibson et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Tracking Epidemics With Google Flu Trends Data and a State-Space SEIR Model
- (2012) Vanja Dukic et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
- Glycemic Management of Type 2 Diabetes Mellitus
- (2012) Faramarz Ismail-Beigi NEW ENGLAND JOURNAL OF MEDICINE
- Hybrid optimal scheduling for intermittent androgen suppression of prostate cancer
- (2011) Yoshito Hirata et al. CHAOS
- Implications of Postprandial Glucose and Weight Control in People With Type 2 Diabetes: Understanding and implementing the International Diabetes Federation guidelines
- (2009) B. Gallwitz DIABETES CARE
- Free-living inferential modeling of blood glucose level using only noninvasive inputs
- (2009) Derrick K. Rollins et al. JOURNAL OF PROCESS CONTROL
- Medical Management of Hyperglycemia in Type 2 Diabetes: A Consensus Algorithm for the Initiation and Adjustment of Therapy: A consensus statement of the American Diabetes Association and the European Association for the Study of Diabetes
- (2008) D. M. Nathan et al. DIABETES CARE
- Translating the A1C Assay Into Estimated Average Glucose Values
- (2008) D. M. Nathan et al. DIABETES CARE
- Effects of Intensive Glucose Lowering in Type 2 Diabetes
- (2008) NEW ENGLAND JOURNAL OF MEDICINE
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started