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Predictive modeling of clinical trial terminations using feature engineering and embedding learning
In this study, we propose to use machine learning to understand terminated clinical trials. Our goal is to answer two fundamental questions: (1) what are common factors/markers associated to terminated clinical trials? and (2) how to accurately predict whether a clinical trial may be terminated or n...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7876037/ https://www.ncbi.nlm.nih.gov/pubmed/33568706 http://dx.doi.org/10.1038/s41598-021-82840-x |