Performance of a Machine Learning Algorithm Using Electronic Health Record Data to Predict Postoperative Complications and Report on a Mobile Platform

IMPORTANCE: Predicting postoperative complications has the potential to inform shared decisions regarding the appropriateness of surgical procedures, targeted risk-reduction strategies, and postoperative resource use. Realizing these advantages requires that accurate real-time predictions be integra...

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Detalles Bibliográficos
Autores principales: Ren, Yuanfang, Loftus, Tyler J., Datta, Shounak, Ruppert, Matthew M., Guan, Ziyuan, Miao, Shunshun, Shickel, Benjamin, Feng, Zheng, Giordano, Chris, Upchurch, Gilbert R., Rashidi, Parisa, Ozrazgat-Baslanti, Tezcan, Bihorac, Azra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2022
Materias:
Original Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9112066/
https://www.ncbi.nlm.nih.gov/pubmed/35576007
http://dx.doi.org/10.1001/jamanetworkopen.2022.11973

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9112066/
https://www.ncbi.nlm.nih.gov/pubmed/35576007
http://dx.doi.org/10.1001/jamanetworkopen.2022.11973

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