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Development and Validation of a Machine Learning Model to Identify Patients Before Surgery at High Risk for Postoperative Adverse Events
IMPORTANCE: Identifying patients at high risk of adverse outcomes prior to surgery may allow for interventions associated with improved postoperative outcomes; however, few tools exist for automated prediction. OBJECTIVE: To evaluate the accuracy of an automated machine-learning model in the identif...
| Autores principales: | , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Medical Association
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10329211/ https://www.ncbi.nlm.nih.gov/pubmed/37418262 http://dx.doi.org/10.1001/jamanetworkopen.2023.22285 |