An interpretable deep learning framework for predicting liver metastases in postoperative colorectal cancer patients using natural language processing and clinical data integration

BACKGROUND: The significance of liver metastasis (LM) in increasing the risk of death for postoperative colorectal cancer (CRC) patients necessitates innovative approaches to predict LM. AIM: Our study presents a novel and significant contribution by developing an interpretable fusion model that eff...

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Detalles Bibliográficos
Autores principales: Li, Jia, Wang, Xinghao, Cai, Linkun, Sun, Jing, Yang, Zhenghan, Liu, Wenjuan, Wang, Zhenchang, Lv, Han
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10557887/
https://www.ncbi.nlm.nih.gov/pubmed/37694452
http://dx.doi.org/10.1002/cam4.6523

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10557887/
https://www.ncbi.nlm.nih.gov/pubmed/37694452
http://dx.doi.org/10.1002/cam4.6523

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