Predicting Dropouts From an Electronic Health Platform for Lifestyle Interventions: Analysis of Methods and Predictors

BACKGROUND: The increasing prevalence and economic impact of chronic diseases challenge health care systems globally. Digital solutions can potentially improve efficiency and quality of care, but these initiatives struggle with nonusage attrition. Machine learning methods have been proven to predict...

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Detalles Bibliográficos
Autores principales: Pedersen, Daniel Hansen, Mansourvar, Marjan, Sortsø, Camilla, Schmidt, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2019
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6753691/
https://www.ncbi.nlm.nih.gov/pubmed/31486409
http://dx.doi.org/10.2196/13617

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6753691/
https://www.ncbi.nlm.nih.gov/pubmed/31486409
http://dx.doi.org/10.2196/13617

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