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Diabetes Classification Using C4.5 Algorithm by Hariman Bahtiar is a document available to read on EtoBox.

The document describes a study that used a decision tree algorithm (C4.5) to classify diabetes based on patient data. Researchers collected data on 13 variables from 520 patients and used the C4.5 algorithm to generate a decision tree. The results of the decision tree showed that polydipsia (excessive thirst) played a dominant role in diabetes classification, with an accuracy of 90.38%. The study aims to help doctors more easily identify diabetes based on symptoms to enable earlier treatment and reduce comp

Author

Hariman Bahtiar

Language

EN