Machine learning algorithms to predict intraoperative hemorrhage in surgical patients: a modeling study of real-world data in Shanghai, China

BACKGROUND: Prediction tools for various intraoperative bleeding events remain scarce. We aim to develop machine learning-based models and identify the most important predictors by real-world data from electronic medical records (EMRs). METHODS: An established database of surgical inpatients in Shan...

Descripción completa

Detalles Bibliográficos
Autores principales: Shi, Ying, Zhang, Guangming, Ma, Chiye, Xu, Jiading, Xu, Kejia, Zhang, Wenyi, Wu, Jianren, Xu, Liling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10416513/
https://www.ncbi.nlm.nih.gov/pubmed/37563676
http://dx.doi.org/10.1186/s12911-023-02253-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10416513/
https://www.ncbi.nlm.nih.gov/pubmed/37563676
http://dx.doi.org/10.1186/s12911-023-02253-w

Ejemplares similares