Identification of Healthy and Unhealthy Lifestyles by a Wearable Activity Tracker in Type 2 Diabetes: A Machine Learning-Based Analysis

Lifestyle is a critical aspect of diabetes management. We aimed to define a healthy lifestyle using objectively measured parameters obtained from a wearable activity tracker (Fitbit) in patients with type 2 diabetes. This prospective observational study included 24 patients (mean age, 46.8 years) wi...

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Detalles Bibliográficos
Autores principales: Kim, Kyoung Jin, Lee, Jung-Been, Choi, Jimi, Seo, Ju Yeon, Yeom, Ji Won, Cho, Chul-Hyun, Bae, Jae Hyun, Kim, Sin Gon, Lee, Heon-Jeong, Kim, Nam Hoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Endocrine Society 2022
Materias:
Brief Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9262687/
https://www.ncbi.nlm.nih.gov/pubmed/35798553
http://dx.doi.org/10.3803/EnM.2022.1479

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9262687/
https://www.ncbi.nlm.nih.gov/pubmed/35798553
http://dx.doi.org/10.3803/EnM.2022.1479

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