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Optimizing prognostic factors of five-year survival in gastric cancer patients using feature selection techniques with machine learning algorithms: a comparative study
BACKGROUND: Gastric cancer is the most common malignant tumor worldwide and a leading cause of cancer deaths. This neoplasm has a poor prognosis and heterogeneous outcomes. Survivability prediction may help select the best treatment plan based on an individual’s prognosis. Numerous clinical and path...
Autores principales: | Afrash, Mohammad Reza, Mirbagheri, Esmat, Mashoufi, Mehrnaz, Kazemi-Arpanahi, Hadi |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10080884/ https://www.ncbi.nlm.nih.gov/pubmed/37024885 http://dx.doi.org/10.1186/s12911-023-02154-y |
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