The objective of this research is to predict if the person has diabetes or not based on the certain diagnostic medical measurements. Few constraints were considered while picking up the data set, data ...

This study aims to improve the prediction rate with a novel model of bidirectional encoder representation for transformers (BERT) compared with random forest algorithm. A dataset of size 1100 is used ...

Selection of an Adequate Algorithm for Purity Estimation of Common Pediatric CNS Tumors Random forest (RF), InfiniumPurify, and ESTIMATE algorithms were used to estimate tumor purity.