Individual risk and prognostic value prediction by machine learning for distant metastasis in pulmonary sarcomatoid carcinoma: a large cohort study based on the SEER database and the Chinese population

BACKGROUND: This study aimed to develop diagnostic and prognostic models for patients with pulmonary sarcomatoid carcinoma (PSC) and distant metastasis (DM). METHODS: Patients from the Surveillance, Epidemiology, and End Results (SEER) database were divided into a training set and internal test set...

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Detalles Bibliográficos
Autores principales: Yi, Xinglin, Xu, Wenhao, Tang, Guihua, Zhang, Lingye, Wang, Kaishan, Luo, Hu, Zhou, Xiangdong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10332636/
https://www.ncbi.nlm.nih.gov/pubmed/37434968
http://dx.doi.org/10.3389/fonc.2023.1105224

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10332636/
https://www.ncbi.nlm.nih.gov/pubmed/37434968
http://dx.doi.org/10.3389/fonc.2023.1105224

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