Cargando…
Forecasting adverse surgical events using self-supervised transfer learning for physiological signals
Hundreds of millions of surgical procedures take place annually across the world, which generate a prevalent type of electronic health record (EHR) data comprising time series physiological signals. Here, we present a transferable embedding method (i.e., a method to transform time series signals int...
| Autores principales: | , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8654960/ https://www.ncbi.nlm.nih.gov/pubmed/34880410 http://dx.doi.org/10.1038/s41746-021-00536-y |