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...
| Publicado en: | Archives of Medical Science Vol. 18; no. 5; pp. 1208 - 1221 |
|---|---|
| Autores principales: | , , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Termedia Publishing House
2022
|
| Acceso en línea: | Ver este registro en EBSCOhost |