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

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

Patients with hepatocellular carcinoma require regular follow-up. Here, using Cox-based feature selection to identify key prognostic features, the authors convert time-series follow-up data into a cascading survival map, and show that the approach improves dynamic prognosis prediction for patients.

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Detalles Bibliográficos
Autores principales: Lujun Shen, Qi Zeng, Pi Guo, Jingjun Huang, Chaofeng Li, Tao Pan, Boyang Chang, Nan Wu, Lewei Yang, Qifeng Chen, Tao Huang, Wang Li, Peihong Wu
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2018
Materias:
Science
Q
Acceso en línea:https://doaj.org/article/da859ea395f4437b8d38707d5828dc84
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