Predicting completion of clinical trials in pregnant women: Cox proportional hazard and neural network models

This study aimed to develop a model for predicting the completion of clinical trials involving pregnant women using the Cox proportional hazard model and neural network model (DeepSurv) and to compare the predictive performance of both methods. We collected data on 819 clinical trials performed on p...

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Detalles Bibliográficos
Autores principales: Kim, Bomee, Jang, Yun Ji, Cho, Hae Ram, Kim, So Yeon, Jeong, Ji Eun, Shim, Mi Kyoung, Kim, Myeong Gyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8932703/
https://www.ncbi.nlm.nih.gov/pubmed/34735737
http://dx.doi.org/10.1111/cts.13187

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8932703/
https://www.ncbi.nlm.nih.gov/pubmed/34735737
http://dx.doi.org/10.1111/cts.13187

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