Prediction of Prolonged Length of Hospital Stay After Cancer Surgery Using Machine Learning on Electronic Health Records: Retrospective Cross-sectional Study

BACKGROUND: Postoperative length of stay is a key indicator in the management of medical resources and an indirect predictor of the incidence of surgical complications and the degree of recovery of the patient after cancer surgery. Recently, machine learning has been used to predict complex medical...

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Detalles Bibliográficos
Autores principales: Jo, Yong-Yeon, Han, JaiHong, Park, Hyun Woo, Jung, Hyojung, Lee, Jae Dong, Jung, Jipmin, Cha, Hyo Soung, Sohn, Dae Kyung, Hwangbo, Yul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7939945/
https://www.ncbi.nlm.nih.gov/pubmed/33616544
http://dx.doi.org/10.2196/23147

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7939945/
https://www.ncbi.nlm.nih.gov/pubmed/33616544
http://dx.doi.org/10.2196/23147

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