Predicting completion of clinical trials in pregnant women: Cox proportional hazard and neural network models
Abstract 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 perfo...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-03-01
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| Series: | Clinical and Translational Science |
| Online Access: | https://doi.org/10.1111/cts.13187 |