Artificial neural network model to predict post-hepatectomy early recurrence of hepatocellular carcinoma without macroscopic vascular invasion

BACKGROUND: The accurate prediction of post-hepatectomy early recurrence (PHER) of hepatocellular carcinoma (HCC) is vital in determining postoperative adjuvant treatment and monitoring. This study aimed to develop and validate an artificial neural network (ANN) model to predict PHER in HCC patients...

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Detalles Bibliográficos
Autores principales: Mai, Rong-yun, Zeng, Jie, Meng, Wei-da, Lu, Hua-ze, Liang, Rong, Lin, Yan, Wu, Guo-bin, Li, Le-qun, Ma, Liang, Ye, Jia-zhou, Bai, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7962237/
https://www.ncbi.nlm.nih.gov/pubmed/33726693
http://dx.doi.org/10.1186/s12885-021-07969-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7962237/
https://www.ncbi.nlm.nih.gov/pubmed/33726693
http://dx.doi.org/10.1186/s12885-021-07969-4

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