Development of a Deep Learning Model for Malignant Small Bowel Tumors Survival: A SEER-Based Study

Background This study aims to explore a deep learning (DL) algorithm for developing a prognostic model and perform survival analyses in SBT patients. Methods The demographic and clinical features of patients with SBTs were extracted from the Surveillance, Epidemiology and End Results (SEER) database...

Descripción completa

Detalles Bibliográficos
Autores principales: Yin, Minyue, Lin, Jiaxi, Liu, Lu, Gao, Jingwen, Xu, Wei, Yu, Chenyan, Qu, Shuting, Liu, Xiaolin, Qian, Lijuan, Xu, Chunfang, Zhu, Jinzhou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9141623/
https://www.ncbi.nlm.nih.gov/pubmed/35626403
http://dx.doi.org/10.3390/diagnostics12051247

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9141623/
https://www.ncbi.nlm.nih.gov/pubmed/35626403
http://dx.doi.org/10.3390/diagnostics12051247

Ejemplares similares