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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....

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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

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