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...

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Detalles Bibliográficos
Autores principales: Afrash, Mohammad Reza, Mirbagheri, Esmat, Mashoufi, Mehrnaz, Kazemi-Arpanahi, Hadi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
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

Internet

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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