Multiple Machine Learnings Revealed Similar Predictive Accuracy for Prognosis of PNETs from the Surveillance, Epidemiology, and End Result Database

Background: Prognosis prediction is indispensable in clinical practice and machine learning has been proved to be helpful. We expected to predict survival of pancreatic neuroendocrine tumors (PNETs) with machine learning, and compared it with the American Joint Committee on Cancer (AJCC) staging sys...

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Detalles Bibliográficos
Autores principales: Song, Yiyan, Gao, Shaowei, Tan, Wulin, Qiu, Zeting, Zhou, Huaqiang, Zhao, Yue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2018
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6218767/
https://www.ncbi.nlm.nih.gov/pubmed/30410601
http://dx.doi.org/10.7150/jca.26649

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6218767/
https://www.ncbi.nlm.nih.gov/pubmed/30410601
http://dx.doi.org/10.7150/jca.26649

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