Volume 29, Issue 4, 2020
DOI: 10.24205/03276716.2020.824
Examining the Effectiveness of Machine Learning Algorithms as Classifiers for Predicting Disease Severity in Data Warehouse Environments
Abstract
implemented by utilizing the data obtained from the medical data warehouse (DWE). The
Keywords
Support Vector Machine (SVM), Artificial Neural Network (ANN), ETL (extract, transform and load) process, machine learning, disease severity, data warehouse