ascopubs.org

A random forest model to predict the efficacy of anti-PD-1/PD-L1 monoclonal antibody in lung adenocarcinoma.

Efficacy and safety of time-of-day infusion of pemetrexed plus platinum and paclitaxel plus platinum for patients with advanced non-small cell lung cancer: A retrospective study. This is an ASCO ...
ascopubs.org

A random forest model to predict the efficacy of KL-A167 in previously treated recurrent or metastatic nasopharyngeal carcinoma based on the data from the KL167-II-05-CTP study.

Preliminary efficacy and safety of camrelizumab combined with cetuximab and chemotherapy in recurrent or metastatic head and neck squamous cell carcinoma (R/M HNSCC): A phase II clinical trial. This ...
Visual Studio Magazine

Random Forest Regression Using C#

Random forest regression is a tree-based machine learning technique to predict a single numeric value. A random forest is a collection (ensemble) of simple regression decision trees that are trained ...