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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...

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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

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