Accuracy of Automatic Carbohydrate, Protein, Fat and Calorie Counting Based on Voice Descriptions of Meals in People with Type 1 Diabetes
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Accuracy of Automatic Carbohydrate, Protein, Fat and Calorie Counting Based on Voice Descriptions of Meals in People with Type 1 Diabetes
Authors
Keywords
-
Journal
Nutrients
Volume 10, Issue 4, Pages 518
Publisher
MDPI AG
Online
2018-04-24
DOI
10.3390/nu10040518
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Carbohydrate Counting in Children and Adolescents with Type 1 Diabetes
- (2018) Giorgia Tascini et al. Nutrients
- Efficacy of automatic bolus calculator with automatic speech recognition in patients with type 1 diabetes: A randomized cross-over trial
- (2018) Piotr Foltynski et al. Journal of Diabetes
- NutriNet: A Deep Learning Food and Drink Image Recognition System for Dietary Assessment
- (2017) Simon Mezgec et al. Nutrients
- Treatment of patients with type 1 diabetes – Insulin pumps or multiple injections?
- (2016) Janusz Krzymien et al. Biocybernetics and Biomedical Engineering
- Mortality in Type 1 Diabetes in the DCCT/EDIC Versus the General Population
- (2016) DIABETES CARE
- Optimized Mealtime Insulin Dosing for Fat and Protein in Type 1 Diabetes: Application of a Model-Based Approach to Derive Insulin Doses for Open-Loop Diabetes Management
- (2016) Kirstine J. Bell et al. DIABETES CARE
- Carbohydrate Estimation by a Mobile Phone-Based System Versus Self-Estimations of Individuals With Type 1 Diabetes Mellitus: A Comparative Study
- (2016) Daniel Rhyner et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Personalised nutrition: the role of new dietary assessment methods
- (2015) Hannah Forster et al. PROCEEDINGS OF THE NUTRITION SOCIETY
- Online Dietary Intake Estimation: The Food4Me Food Frequency Questionnaire
- (2014) Hannah Forster et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Feasibility and validity of mobile phones to assess dietary intake
- (2014) Darren B. Sharp et al. NUTRITION
- Using a Wearable Camera to Increase the Accuracy of Dietary Analysis
- (2013) Gillian O'Loughlin et al. AMERICAN JOURNAL OF PREVENTIVE MEDICINE
- Telemedicine and type 1 diabetes: Is technology per se sufficient to improve glycaemic control?
- (2013) S. Franc et al. DIABETES & METABOLISM
- Both Dietary Protein and Fat Increase Postprandial Glucose Excursions in Children With Type 1 Diabetes, and the Effect Is Additive
- (2013) C. E. M. Smart et al. DIABETES CARE
- The Promise and Peril of Mobile Health Applications for Diabetes and Endocrinology
- (2013) Donna S Eng et al. PEDIATRIC DIABETES
- New technology in dietary assessment: a review of digital methods in improving food record accuracy
- (2013) Phyllis J. Stumbo PROCEEDINGS OF THE NUTRITION SOCIETY
- The Effectiveness of Mobile-Health Technology-Based Health Behaviour Change or Disease Management Interventions for Health Care Consumers: A Systematic Review
- (2013) Caroline Free et al. PLOS MEDICINE
- ‘My Meal Mate’ (MMM): validation of the diet measures captured on a smartphone application to facilitate weight loss
- (2012) Michelle C. Carter et al. BRITISH JOURNAL OF NUTRITION
- Dietary Fat Acutely Increases Glucose Concentrations and Insulin Requirements in Patients With Type 1 Diabetes: Implications for carbohydrate-based bolus dose calculation and intensive diabetes management
- (2012) H. A. Wolpert et al. DIABETES CARE
- Carbohydrate counting accuracy and blood glucose variability in adults with type 1 diabetes
- (2012) A.S. Brazeau et al. DIABETES RESEARCH AND CLINICAL PRACTICE
- In children using intensive insulin therapy, a 20-g variation in carbohydrate amount significantly impacts on postprandial glycaemia
- (2012) C. E. Smart et al. DIABETIC MEDICINE
- Benefit of supplementary fat plus protein counting as compared with conventional carbohydrate counting for insulin bolus calculation in children with pump therapy
- (2012) Olga Kordonouri et al. PEDIATRIC DIABETES
- Food intake monitoring: an acoustical approach to automated food intake activity detection and classification of consumed food
- (2012) Sebastian Päßler et al. PHYSIOLOGICAL MEASUREMENT
- The Diabeo Software Enabling Individualized Insulin Dose Adjustments Combined With Telemedicine Support Improves HbA1c in Poorly Controlled Type 1 Diabetic Patients: A 6-month, randomized, open-label, parallel-group, multicenter trial (TeleDiab 1 Study)
- (2011) G. Charpentier et al. DIABETES CARE
- Does the Fat-Protein Meal Increase Postprandial Glucose Level in Type 1 Diabetes Patients on Insulin Pump: The Conclusion of a Randomized Study
- (2011) Ewa Pańkowska et al. Diabetes Technology & Therapeutics
- Application of novel dual wave meal bolus and its impact on glycated hemoglobin A1c level in children with type 1 diabetes
- (2009) Ewa Pańkowska et al. PEDIATRIC DIABETES
- The Medical Home: Locus of Physician Formation
- (2008) T. P. Daaleman Journal of the American Board of Family Medicine
- The Medical Home: Growing Evidence to Support a New Approach to Primary Care
- (2008) T. C. Rosenthal Journal of the American Board of Family Medicine
- Non-invasive monitoring of chewing and swallowing for objective quantification of ingestive behavior
- (2008) Edward Sazonov et al. PHYSIOLOGICAL MEASUREMENT
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started