Ten-Year Multicenter Retrospective Study Utilizing Machine Learning Algorithms to Identify Patients at High Risk of Venous Thromboembolism After Radical Gastrectomy

PURPOSE: This study aims to construct a machine learning model that can recognize preoperative, intraoperative, and postoperative high-risk indicators and predict the onset of venous thromboembolism (VTE) in patients. PATIENTS AND METHODS: A total of 1239 patients diagnosed with gastric cancer were...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Yuan, Song, Chen, Tian, Zhiqiang, Shen, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2023
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10202705/
https://www.ncbi.nlm.nih.gov/pubmed/37228741
http://dx.doi.org/10.2147/IJGM.S408770

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10202705/
https://www.ncbi.nlm.nih.gov/pubmed/37228741
http://dx.doi.org/10.2147/IJGM.S408770

Ejemplares similares