Machine learning methods for accurately predicting survival and guiding treatment in stage I and II hepatocellular carcinoma

Accurately predicting survival in patients with early hepatocellular carcinoma (HCC) is essential for making informed decisions about treatment and prognosis. Herein, we have developed a machine learning (ML) model that can predict patient survival and guide treatment decisions. We obtained patient...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Xianguo, Bao, Haijun, Shi, Yongping, Zhu, Wenzhong, Peng, Zuojie, Yan, Lizhao, Chen, Jinhuang, Shu, Xiaogang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
4500
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10637529/
https://www.ncbi.nlm.nih.gov/pubmed/37960763
http://dx.doi.org/10.1097/MD.0000000000035892

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10637529/
https://www.ncbi.nlm.nih.gov/pubmed/37960763
http://dx.doi.org/10.1097/MD.0000000000035892

Ejemplares similares