The Development of a Prediction Model Based on Random Survival Forest for the Postoperative Prognosis of Pancreatic Cancer: A SEER-Based Study

SIMPLE SUMMARY: Surgery is the main treatment to cure pancreatic cancer (PC). However, the 5-year survival rate of surgical resection is only 10–20%. The aim of our study was to develop a prediction model with the novel machine learning algorithm random survival forest (RSF) and to offer easy-to-use...

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Detalles Bibliográficos
Autores principales: Lin, Jiaxi, Yin, Minyue, Liu, Lu, Gao, Jingwen, Yu, Chenyan, Liu, Xiaolin, Xu, Chunfang, Zhu, Jinzhou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9563591/
https://www.ncbi.nlm.nih.gov/pubmed/36230593
http://dx.doi.org/10.3390/cancers14194667

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9563591/
https://www.ncbi.nlm.nih.gov/pubmed/36230593
http://dx.doi.org/10.3390/cancers14194667

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