Customized and Automated Machine Learning-Based Models for Diabetes Type 2 Classification
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DOI: 10.3233/shti220779
Abstract: This study aims to develop models to accurately classify patients with type 2 diabetes using the Practice Fusion dataset. We use Random Forest (RF), Support Vector Classifier (SVC), AdaBoost classifier, an ensemble model, and automated… read more here.
Keywords: machine learning; automated machine; customized automated; learning based ... See more keywords