Emergence of digital biomarkers to predict and modify treatment efficacy: machine learning study

OBJECTIVES: Development of digital biomarkers to predict treatment response to a digital behavioural intervention. DESIGN: Machine learning using random forest classifiers on data generated through the use of a digital therapeutic which delivers behavioural therapy to treat cardiometabolic disease....

Descripción completa

Detalles Bibliográficos
Autores principales: Guthrie, Nicole L, Carpenter, Jason, Edwards, Katherine L, Appelbaum, Kevin J, Dey, Sourav, Eisenberg, David M, Katz, David L, Berman, Mark A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6661657/
https://www.ncbi.nlm.nih.gov/pubmed/31337662
http://dx.doi.org/10.1136/bmjopen-2019-030710

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6661657/
https://www.ncbi.nlm.nih.gov/pubmed/31337662
http://dx.doi.org/10.1136/bmjopen-2019-030710

Ejemplares similares