Cargando…
Data Mining of a Remote Behavioral Tracking System for Type 2 Diabetes Patients: A Prospective Cohort Study
BACKGROUND: Complications from type 2 diabetes mellitus can be prevented when patients perform health behaviors such as vigorous exercise and glucose-regulated diet. The use of smartphones for tracking such behaviors has demonstrated success in type 2 diabetes management while generating repositorie...
Autores principales: | Wayne, Noah, Cercone, Nick, Li, Jiye, Zohar, Ariel, Katz, Joel, Brown, Patrick, Ritvo, Paul |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6238830/ https://www.ncbi.nlm.nih.gov/pubmed/30291054 http://dx.doi.org/10.2196/diabetes.4506 |
Ejemplares similares
-
Smartphone-Enabled Health Coach Intervention for People With Diabetes From a Modest Socioeconomic Strata Community: Single-Arm Longitudinal Feasibility Study
por: Wayne, Noah, et al.
Publicado: (2014) -
Patterns of User Engagement With the Mobile App, Manage My Pain: Results of a Data Mining Investigation
por: Rahman, Quazi Abidur, et al.
Publicado: (2017) -
Advanced data mining and applications: 4th international conference, ADMA 2008, Chengdu, China, October 8-10, 2008, proceedings
por: Tang, Changjie, et al.
Publicado: (2008) -
Comparing Online and On-Site Cognitive Behavior Therapy in Major Depressive Disorder: Protocol for a Noninferiority Randomized Controlled Trial
por: Ritvo, Paul, et al.
Publicado: (2022) -
Defining and Predicting Pain Volatility in Users of the Manage My Pain App: Analysis Using Data Mining and Machine Learning Methods
por: Rahman, Quazi Abidur, et al.
Publicado: (2018)