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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Detalhes bibliográficos
Publicado no:JMIR Med Inform
Main Authors: Jo, Yong-Yeon, Han, JaiHong, Park, Hyun Woo, Jung, Hyojung, Lee, Jae Dong, Jung, Jipmin, Cha, Hyo Soung, Sohn, Dae Kyung, Hwangbo, Yul
Formato: Artigo
Idioma:Inglês
Publicado em: JMIR Publications 2021
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Original Paper
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7939945/
https://ncbi.nlm.nih.gov/pubmed/33616544
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2196/23147
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