Using supervised machine learning classifiers to estimate likelihood of participating in clinical trials of a de-identified version of ResearchMatch

INTRODUCTION: Lack of participation in clinical trials (CTs) is a major barrier for the evaluation of new pharmaceuticals and devices. Here we report the results of the analysis of a dataset from ResearchMatch, an online clinical registry, using supervised machine learning approaches and a deep lear...

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Detalles Bibliográficos
Autores principales: Vazquez, Janette, Abdelrahman, Samir, Byrne, Loretta M., Russell, Michael, Harris, Paul, Facelli, Julio C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8057403/
https://www.ncbi.nlm.nih.gov/pubmed/33948264
http://dx.doi.org/10.1017/cts.2020.535

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8057403/
https://www.ncbi.nlm.nih.gov/pubmed/33948264
http://dx.doi.org/10.1017/cts.2020.535

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