Diabetes Risk Detection Review Using Machine Learning Techniques
DOI:
https://doi.org/10.26438/ijcse/v9i8.8486Keywords:
diabeti, disease, feature selection technique, machine learningAbstract
Data Mining (DM) and Machine Learning (ML) are used as training algorithm for learning classification and feature selection technique (FST) from data. The DM and ML are contemporary concepts that are used to classify data with remarkable accuracy and efficiency. This paper contains a collection of research publications that utilized DM and ML techniques to diagnose diabetes. The survey's objective was to determine the study objective, diabetic type, data sets and technologies employed, as well as the results.
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