Deep learning-based risk prediction for interventional clinical trials based on protocol design: A retrospective study

Success rate of clinical trials (CTs) is low, with the protocol design itself being considered a major risk factor. We aimed to investigate the use of deep learning methods to predict the risk of CTs based on their protocols. Considering protocol changes and their final status, a retrospective risk...

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Detalles Bibliográficos
Autores principales: Ferdowsi, Sohrab, Knafou, Julien, Borissov, Nikolay, Vicente Alvarez, David, Mishra, Rahul, Amini, Poorya, Teodoro, Douglas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10028430/
https://www.ncbi.nlm.nih.gov/pubmed/36960445
http://dx.doi.org/10.1016/j.patter.2023.100689

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10028430/
https://www.ncbi.nlm.nih.gov/pubmed/36960445
http://dx.doi.org/10.1016/j.patter.2023.100689

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