Research graph
References from Optimizing postprandial glucose prediction through integration of diet and exercise: Leveraging transfer learning with imbalanced patient data. Local targets link to admitted publications; unresolved targets remain external evidence.
Global Economic Burden of Diabetes in Adults: Projections From 2015 to 2030
10.2337/dc17-1962 · 2018 · External reference
Recent Updates to Clinical Practice Guidelines for Diabetes Mellitus
10.3803/enm.2022.105 · 2022 · External reference
Behavior Change App for Self-management of Gestational Diabetes: Design and Evaluation of Desirable Features
10.2196/36987 · 2022 · External reference
Changing face of healthcare: digital therapeutics in the management of diabetes
10.1080/03007995.2021.1976737 · 2021 · External reference
Comprehensive self-tracking of blood glucose and lifestyle with a mobile application in the management of gestational diabetes: a study protocol for a randomised controlled trial (eMOM GDM study)
10.1136/bmjopen-2022-066292 · 2022 · External reference
A review of personalized blood glucose prediction strategies for T1DM patients
10.1002/cnm.2833 · 2017 · External reference
Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes
10.1016/j.artmed.2019.07.007 · 2019 · External reference
10.1109/neurel.2016.7800095
10.1109/neurel.2016.7800095 · External reference
Development of a Deep Learning Model for Dynamic Forecasting of Blood Glucose Level for Type 2 Diabetes Mellitus: Secondary Analysis of a Randomized Controlled Trial
10.2196/14452 · 2019 · External reference
Combined diet and exercise interventions for preventing gestational diabetes mellitus
2017 · External reference
Dietary and exercise interventions and glycemic control and maternal and newborn outcomes in women diagnosed with gestational diabetes: Systematic review
10.1016/j.dsx.2019.07.040 · 2019 · External reference
Postprandial walking reduces glucose levels in women with gestational diabetes mellitus
10.1139/apnm-2017-0494 · 2018 · External reference
The effect of walking on postprandial glycemic excursion in patients with type 1 diabetes and healthy people
10.2337/dc11-2381 · 2012 · External reference
The Effects of Postprandial Exercise on Glucose Control in Individuals with Type 2 Diabetes: A Systematic Review
10.1007/s40279-018-0864-x · 2018 · External reference
Reducing the Decline in Physical Activity during Pregnancy: A Systematic Review of Behaviour Change Interventions
10.1371/journal.pone.0066385 · 2013 · External reference
Adversarial multi-source transfer learning in healthcare: Application to glucose prediction for diabetic people
10.1016/j.cmpb.2020.105874 · 2021 · External reference
Deep transfer learning: a novel glucose prediction framework for new subjects with type 2 diabetes
10.1007/s40747-021-00360-7 · 2022 · External reference
Deep transfer learning and data augmentation improve glucose levels prediction in type 2 diabetes patients
10.1038/s41746-021-00480-x · 2021 · External reference
A Data-Driven Personalized Model of Glucose Dynamics Taking Account of the Effects of Physical Activity for Type 1 Diabetes: An In Silico Study
2019 · External reference
Multivariate prediction of subcutaneous glucose concentration in type 1 diabetes patients based on support vector regression
10.1109/titb.2012.2219876 · 2013 · External reference
Personalized mechanistic models for exercise, meal and insulin interventions in children and adolescents with type 1 diabetes
10.1016/j.jtbi.2014.04.038 · 2014 · External reference
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A Multitask Learning Approach to Personalized Blood Glucose Prediction
10.1109/jbhi.2021.3100558 · 2022 · External reference
Implications of postprandial glucose and weight control in people with type 2 diabetes: understanding and implementing the International Diabetes Federation guidelines
10.2337/dc09-s331 · 2009 · External reference
Machine Learning Approach for Postprandial Blood Glucose Prediction in Gestational Diabetes Mellitus
10.1109/access.2020.3042483 · 2020 · External reference
Computational modelling of self-reported dietary carbohydrate intake on glucose concentrations in patients undergoing Roux-en-Y gastric bypass versus one-anastomosis gastric bypass
10.1080/07853890.2021.1964035 · 2021 · External reference
Errors-in-Variables Modeling of Personalized Treatment-Response Trajectories
10.1109/jbhi.2020.2987323 · 2021 · External reference
The Effects of Postprandial Walking on the Glucose Response after Meals with Different Characteristics
10.3390/nu14051080 · 2022 · External reference
Exercise after You Eat: Hitting the Postprandial Glucose Target
10.3389/fendo.2017.00228 · 2017 · External reference
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Lilly lecture 1987. The triumvirate: beta-cell, muscle, liver. A collusion responsible for NIDDM
1988 · External reference
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Physiological changes in pregnancy
10.5830/cvja-2016-021 · 2016 · External reference
Postprandial interval walking-effect on blood glucose in pregnant women with gestational diabetes
10.1016/j.ajogmf.2021.100440 · 2021 · External reference
10.1201/b16018
10.1201/b16018 · 2013 · External reference
Glucose Variability: A Review of Clinical Applications and Research Developments
10.1089/dia.2018.0092 · 2018 · External reference
Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health: Key Components and Design Principles for Ongoing Health Behavior Support
10.1007/s12160-016-9830-8 · 2018 · External reference
Exercise-nutrient interactions for improved postprandial glycemic control and insulin sensitivity
10.1139/apnm-2021-0168 · 2021 · External reference
Development and Evaluation of a Mobile Personalized Blood Glucose Prediction System for Patients With Gestational Diabetes Mellitus
10.2196/mhealth.9236 · 2018 · External reference
Transfer learning for non-image data in clinical research: A scoping review
10.1371/journal.pdig.0000014 · 2022 · External reference
