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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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Bibliografiska uppgifter
I publikationen:J Cancer
Huvudupphovsmän: Song, Yiyan, Gao, Shaowei, Tan, Wulin, Qiu, Zeting, Zhou, Huaqiang, Zhao, Yue
Materialtyp: Artigo
Språk:Inglês
Publicerad: Ivyspring International Publisher 2018
Ämnen:
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC6218767/
https://ncbi.nlm.nih.gov/pubmed/30410601
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7150/jca.26649
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