Prediction of intensive care unit admission (>24h) after surgery in elective noncardiac surgical patients using machine learning algorithms

BACKGROUND: To develop a highly discriminative machine learning model for the prediction of intensive care unit admission (>24h) using the easily available preoperative information from electronic health records. An accurate prediction model for ICU admission after surgery is of great importance...

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Detalles Bibliográficos
Autores principales: Lan, Lan, Chen, Fangwei, Luo, Jiawei, Li, Mengjiao, Hao, Xuechao, Hu, Yao, Yin, Jin, Zhu, Tao, Zhou, Xiaobo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9326842/
https://www.ncbi.nlm.nih.gov/pubmed/35910815
http://dx.doi.org/10.1177/20552076221110543

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9326842/
https://www.ncbi.nlm.nih.gov/pubmed/35910815
http://dx.doi.org/10.1177/20552076221110543

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