Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Association between Timing of Surgical Intervention and Mortality in 15,813 Acute Pancreatitis
por: Lan, Lan, et al.
Publicado: (2020) -
Outcome of Noncardiac Surgical Patients Admitted to a Multidisciplinary Intensive Care Unit
por: Kumar, Pradeep, et al.
Publicado: (2017) -
Arterial pulmonary hypertension in noncardiac intensive care unit
por: Tsapenko, Mykola V, et al.
Publicado: (2008) -
Intensive care admission after cardiac arrest: cardiac versus noncardiac causes and consequences for treatment
por: Hargreaves, T, et al.
Publicado: (2013) -
Activities of daily living and cardiovascular complications following elective, noncardiac surgery.
por: Wiklund, R. A., et al.
Publicado: (2001)