Prediction of prognosis and survival of patients with gastric cancer by a weighted improved random forest model: an application of machine learning in medicine

INTRODUCTION: It is essential to predict the survival status of patients based on their prognosis. This can assist physicians in evaluating treatment decisions. Random forest is an excellent machine learning algorithm even without any modification. We propose a new random forest weighting method and...

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Detalles Bibliográficos
Autores principales: Xu, Cheng, Wang, Jing, Zheng, Tianlong, Cao, Yue, Ye, Fan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Termedia Publishing House 2021
Materias:
Clinical Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9479734/
https://www.ncbi.nlm.nih.gov/pubmed/36160349
http://dx.doi.org/10.5114/aoms/135594

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9479734/
https://www.ncbi.nlm.nih.gov/pubmed/36160349
http://dx.doi.org/10.5114/aoms/135594

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