Development and validation of machine learning models for postoperative venous thromboembolism prediction in colorectal cancer inpatients: a retrospective study

BACKGROUND: Colorectal cancer (CRC) is a heterogeneous group of malignancies distinguished by distinct clinical features. The association of these features with venous thromboembolism (VTE) is yet to be clarified. Machine learning (ML) models are well suited to improve VTE prediction in CRC due to t...

Descripción completa

Detalles Bibliográficos
Autores principales: Qin, Li, Liang, Zhikun, Xie, Jingwen, Ye, Guozeng, Guan, Pengcheng, Huang, Yaoyao, Li, Xiaoyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007945/
https://www.ncbi.nlm.nih.gov/pubmed/36915444
http://dx.doi.org/10.21037/jgo-23-18

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007945/
https://www.ncbi.nlm.nih.gov/pubmed/36915444
http://dx.doi.org/10.21037/jgo-23-18

Ejemplares similares