IMPLEMENTATION OF DATA MINING FOR DIABETES PREDICTION USING THE C4.5 ALGORITHM
DOI:
https://doi.org/10.46576/ijsseh.v5i2.4685Abstrak
This study focuses on the implementation of data mining techniques to predict diabetes using the C4.5 algorithm. Diabetes is a syndrome characterized by metabolic disturbances and abnormally high blood glucose levels due to insulin deficiency or decreased tissue sensitivity to insulin. Maintaining blood sugar levels is crucial for health, as it is a vital energy source for cells and tissues. The research employs various classification attributes, including weight, gender (as an auxiliary attribute), blood pressure, blood sugar levels, and diabetes history. These attributes are used to help individuals predict whether their diabetes is hereditary or non-hereditary.
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