An Innovative Artificial Intelligence-Based Extreme Learning Machine Based on Random Forest Classifier for Diagnosed Diabetes Mellitus
Dimas Chaerul Ekty Saputra, Elvaro Islami Muryadi, Raksmey Phann, Irianna Futri, Lismawati Lismawati Abstract Since 2014, the World Health Organization has accumulated data indicating that 8.5% of 18-year-olds and older have been diagnosed with diabetes. In 2019, diabetes caused the lives of 1.5 million people worldwide, with those under the age of 70 accounting for […]