Artificial intelligence-aided clinical annotation of a large multi-cancer genomic dataset
oleh: Kenneth L. Kehl, Wenxin Xu, Alexander Gusev, Ziad Bakouny, Toni K. Choueiri, Irbaz Bin Riaz, Haitham Elmarakeby, Eliezer M. Van Allen, Deborah Schrag
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2021-12-01 |
Deskripsi
To accelerate cancer research that correlates biomarkers with clinical endpoints, methods are needed to ascertain outcomes from electronic health records at scale. Here, the authors train natural language processing to extract outcomes for participants in a precision oncology study.