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Can a deep learning model based on intraoperative time-series monitoring data predict post-hysterectomy quality of recovery?
BACKGROUND: Intraoperative physiological monitoring generates a large quantity of time-series data that might be associated with postoperative outcomes. Using a deep learning model based on intraoperative time-series monitoring data to predict postoperative quality of recovery has not been previousl...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8022389/ https://www.ncbi.nlm.nih.gov/pubmed/33820562 http://dx.doi.org/10.1186/s13741-021-00178-4 |