Development and Validation of a Prognostic Classification Model Predicting Postoperative Adverse Outcomes in Older Surgical Patients Using a Machine Learning Algorithm: Retrospective Observational Network Study

BACKGROUND: Older adults are at an increased risk of postoperative morbidity. Numerous risk stratification tools exist, but effort and manpower are required. OBJECTIVE: This study aimed to develop a predictive model of postoperative adverse outcomes in older patients following general surgery with a...

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Detalles Bibliográficos
Autores principales: Choi, Jung-Yeon, Yoo, Sooyoung, Song, Wongeun, Kim, Seok, Baek, Hyunyoung, Lee, Jun Suh, Yoon, Yoo-Seok, Yoon, Seonghae, Lee, Hae-Young, Kim, Kwang-il
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10682929/
https://www.ncbi.nlm.nih.gov/pubmed/37955965
http://dx.doi.org/10.2196/42259

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10682929/
https://www.ncbi.nlm.nih.gov/pubmed/37955965
http://dx.doi.org/10.2196/42259

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