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

implemented by utilizing the data obtained from the medical data warehouse (DWE). The

Support Vector Machine (SVM), Artificial Neural Network (ANN), ETL (extract, transform and load) process, machine learning, disease severity, data warehouse

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