Dynamically prognosticating patients with hepatocellular carcinoma through survival paths mapping based on time-series data

Patients with hepatocellular carcinoma (HCC) always require routine surveillance and repeated treatment, which leads to accumulation of huge amount of clinical data. A predictive model utilizes the time-series data to facilitate dynamic prognosis prediction and treatment planning is warranted. Here...

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Detalles Bibliográficos
Autores principales: Shen, Lujun, Zeng, Qi, Guo, Pi, Huang, Jingjun, Li, Chaofeng, Pan, Tao, Chang, Boyang, Wu, Nan, Yang, Lewei, Chen, Qifeng, Huang, Tao, Li, Wang, Wu, Peihong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5993743/
https://www.ncbi.nlm.nih.gov/pubmed/29884785
http://dx.doi.org/10.1038/s41467-018-04633-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5993743/
https://www.ncbi.nlm.nih.gov/pubmed/29884785
http://dx.doi.org/10.1038/s41467-018-04633-7

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