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Preprocessing Impact on Medical Data Classification by Abdal Lalit is a document available to read on EtoBox.

What is Preprocessing Impact on Medical Data Classification about?

This document discusses a study on the impact of preprocessing methods on the classification of medical data. The researchers experimented with 25 medical datasets from a public repository, applying various preprocessing techniques including discretization, feature selection, and handling of missing values. They then classified the preprocessed data using an ant colony optimization algorithm called AntMiner+. The results showed that selecting the right combination of preprocessing methods through individual

Author
Abdal Lalit
Language
EN