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Leveraging machine learning techniques for predicting pancreatic neuroendocrine tumor grades using biochemical and tumor markers
BACKGROUND: The incidence of pancreatic neuroendocrine tumors (PNETs) is now increasing rapidly. The tumor grade of PNETs significantly affects the treatment strategy and prognosis. However, there is still no effective way to non-invasively classify PNET grades. Machine learning (ML) algorithms have...
Autores principales: | Zhou, Rui-Quan, Ji, Hong-Chen, Liu, Qu, Zhu, Chun-Yu, Liu, Rong |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Baishideng Publishing Group Inc
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6658377/ https://www.ncbi.nlm.nih.gov/pubmed/31367620 http://dx.doi.org/10.12998/wjcc.v7.i13.1611 |
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