Cargando…

Carbohydrate Estimation by a Mobile Phone-Based System Versus Self-Estimations of Individuals With Type 1 Diabetes Mellitus: A Comparative Study

BACKGROUND: Diabetes mellitus is spreading throughout the world and diabetic individuals have been shown to often assess their food intake inaccurately; therefore, it is a matter of urgency to develop automated diet assessment tools. The recent availability of mobile phones with enhanced capabilitie...

Descripción completa

Detalles Bibliográficos
Autores principales:	Rhyner, Daniel, Loher, Hannah, Dehais, Joachim, Anthimopoulos, Marios, Shevchik, Sergey, Botwey, Ransford Henry, Duke, David, Stettler, Christoph, Diem, Peter, Mougiakakou, Stavroula
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	JMIR Publications Inc. 2016
Materias:	Original Paper
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4880742/ https://www.ncbi.nlm.nih.gov/pubmed/27170498 http://dx.doi.org/10.2196/jmir.5567

Ejemplares similares

A Comparative Study on Carbohydrate Estimation: GoCARB vs. Dietitians
por: Vasiloglou, Maria F., et al.
Publicado: (2018)

Computer-Aided Diagnosis of Pulmonary Fibrosis Using Deep Learning and CT Images
por: Christe, Andreas, et al.
Publicado: (2019)

Monitoring supply networks from mobile phone data for estimating the systemic risk of an economy
por: Reisch, Tobias, et al.
Publicado: (2022)

Model-Free Machine Learning in Biomedicine: Feasibility Study in Type 1 Diabetes
por: Daskalaki, Elena, et al.
Publicado: (2016)

Planning for sustainable cities by estimating building occupancy with mobile phones
por: Barbour, Edward, et al.
Publicado: (2019)

Measurement and Estimation of Spectral Sensitivity Functions for Mobile Phone Cameras
por: Tominaga, Shoji, et al.
Publicado: (2021)

Estimation of Personal Environment Via Fingertip Microbiome and Mobile Phone Surfaces
por: YJ, OK, et al.
Publicado: (2021)

The factors affecting on estimation of carbohydrate content of meals in carbohydrate counting
por: Kawamura, Tomoyuki, et al.
Publicado: (2015)

Estimation of RF energy absorbed in the brain from mobile phones in the Interphone Study
por: Cardis, E, et al.
Publicado: (2011)

Determination of Metal Content of Waste Mobile Phones and Estimation of Their Recovery Potential in Turkey
por: Sahan, Merve, et al.
Publicado: (2019)

A Bimodal Model to Estimate Dynamic Metropolitan Population by Mobile Phone Data
por: Feng, Jie, et al.
Publicado: (2018)

Estimation of bed net coverage indicators in Tanzania using mobile phone surveys: a comparison of sampling approaches
por: Worges, Matt, et al.
Publicado: (2022)

The impact of the mode of survey administration on estimates of daily smoking for mobile phone only users
por: Hanna, Joseph, et al.
Publicado: (2017)

An improved spectral estimation method based on color perception features of mobile phone camera
por: Liu, Duan, et al.
Publicado: (2022)

Estimating the prevalence of comorbid conditions and their effect on health care costs in patients with diabetes mellitus in Switzerland
por: Huber, Carola A, et al.
Publicado: (2014)

Estimation of Antenna Pose in the Earth Frame Using Camera and IMU Data from Mobile Phones
por: Wang, Zhen, et al.
Publicado: (2017)

Using Mobile Phone Data to Estimate the Relationship between Population Flow and Influenza Infection Pathways
por: Chen, Qiushi, et al.
Publicado: (2021)

Estimation of mobility and population in Spain during different phases of the COVID-19 pandemic from mobile phone data
por: Osorio Arjona, Joaquín, et al.
Publicado: (2023)

A method to estimate population densities and electricity consumption from mobile phone data in developing countries
por: Salat, Hadrien, et al.
Publicado: (2020)

Deep Learning Regression Approaches Applied to Estimate Tillering in Tropical Forages Using Mobile Phone Images
por: Santos, Luiz, et al.
Publicado: (2022)

Estimating COVID-19 cases and outbreaks on-stream through phone calls
por: Alvarez, Ezequiel, et al.
Publicado: (2021)

Feasibility Study of an Automated Carbohydrate Estimation System Using Thai Food Images in Comparison With Estimation by Dietitians
por: Chotwanvirat, Phawinpon, et al.
Publicado: (2021)

Real-Time State Estimation in a Flight Simulator Using fNIRS
por: Gateau, Thibault, et al.
Publicado: (2015)

The use of mobile phone data for the estimation of the travel patterns and imported Plasmodium falciparum rates among Zanzibar residents
por: Tatem, Andrew J, et al.
Publicado: (2009)

Mobile Phone Surveys for Collecting Population-Level Estimates in Low- and Middle-Income Countries: A Literature Review
por: Gibson, Dustin G, et al.
Publicado: (2017)

Dynamic Estimation of Individual Exposure Levels to Air Pollution Using Trajectories Reconstructed from Mobile Phone Data
por: Li, Mingxiao, et al.
Publicado: (2019)

Indoor Positioning Design for Mobile Phones via Integrating a Single Microphone Sensor and an H(2) Estimator
por: Chen, Yung-Hsiang, et al.
Publicado: (2023)

Anemia in prospective blood donors deferred by the copper sulphate technique of hemoglobin estimation
por: Antwi-Baffour, Samuel, et al.
Publicado: (2015)

Risk of brain tumours in relation to estimated RF dose from mobile phones: results from five Interphone countries
por: Cardis, E, et al.
Publicado: (2011)

A Machine Learning Approach to Estimate Hip and Knee Joint Loading Using a Mobile Phone-Embedded IMU
por: De Brabandere, Arne, et al.
Publicado: (2020)

Carbohydrate Intake in the Context of Exercise in People with Type 1 Diabetes
por: Scott, Sam, et al.
Publicado: (2019)

In silico vs. Over the Clouds: On-the-Fly Mental State Estimation of Aircraft Pilots, Using a Functional Near Infrared Spectroscopy Based Passive-BCI
por: Gateau, Thibault, et al.
Publicado: (2018)

Carbohydrates in the Treatment of Diabetes Mellitus
por: Cruickshank, J. Norman
Publicado: (1935)

Estimating the carbohydrate content of various forms of tobacco by phenol-sulfuric acid method
por: Jain, Vardhaman Mulchand, et al.
Publicado: (2017)

Using medicare claims to estimate risk-adjusted performance of Pennsylvania trauma centers
por: Zebrowski, Alexis M., et al.
Publicado: (2023)

Using mobile phone data to estimate dynamic population changes and improve the understanding of a pandemic: A case study in Andorra
por: Berke, Alex, et al.
Publicado: (2022)

Deriving neighborhood-level diet and physical activity measurements from anonymized mobile phone location data for enhancing obesity estimation
por: Zhou, Ryan Zhenqi, et al.
Publicado: (2022)

Decimative Spectral Estimation with Unconstrained Model Order
por: Fotinea, Stavroula-Evita, et al.
Publicado: (2012)

A multifactorial analysis of obesity as CVD risk factor: Use of neural network based methods in a nutrigenetics context
por: Valavanis, Ioannis K, et al.
Publicado: (2010)

Of mobile phones and morbidity.
Publicado: (1998)

Cannot write session to /tmp/vufind_sessions/sess_58pbt7er6q8ckdnjk4juc9am7m