Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Survival Analysis and Prediction Model for Pulmonary Sarcomatoid Carcinoma Based on SEER Database
por: Chen, Mingjing, et al.
Publicado: (2021) -
Marital Status and Prognostic Nomogram for Bladder Cancer With Distant Metastasis: A SEER-Based Study
por: Tao, Liangjun, et al.
Publicado: (2020) -
Nomogram individually predicts the risk for distant metastasis and prognosis value in female differentiated thyroid cancer patients: A SEER-based study
por: Wang, Wenlong, et al.
Publicado: (2022) -
Survival analysis and nomogram for pulmonary sarcomatoid carcinoma: an SEER analysis and external validation
por: Wu, Weishuai, et al.
Publicado: (2023) -
Factors associated with distant metastasis in pediatric thyroid cancer: evaluation of the SEER database
por: Liu, Zeming, et al.
Publicado: (2019)