Based on this research, Wei Ran Lab has conducted big data analysis, trained millions of samples, and selected the Random Forest algorithm to identify threats in encrypted communication traffic.

Clinical and pathological variables were collected in 431 patients, including tumor size, patient demographics, histological characteristics, molecular status, and staging information. A standard ...

Paper Open access published in Remote Sensing on February 12, 2018. Authors: Ana I. de Castro, Jorge Torres-Sánchez, José M. Peña, Francisco M. Jiménez-Brenes, Ovidiu Csillik and Francisca López-Gr… ...

Using these data, we sought to compare LR against four common ML algorithms: penalized lasso, support vector machine (SVM), k-nearest neighbor (KNN), and random forest (RF) in classification ...

For inpatients with cirrhosis, a machine learning (ML) model using random forest (RF) analysis is superior for prediction of inpatient mortality, according to a study published online July 23 in ...