Jamia Hamdard Reports Findings in Machine Learning (The Diabacare Cloud: Predicting Diabetes Using Machine Learning).

A study conducted by researchers at Jamia Hamdard in New Delhi, India, explores the use of machine learning algorithms for diabetes detection. The study focuses on supervised machine learning techniques and tests the efficiency of various classification algorithms using a publicly available dataset. The Random Forest algorithm was found to outperform the other algorithms, achieving an accuracy of 79.52%. The research concludes that further iterations of the algorithm resulted in correct predictions for a significant number of test data. For more information, readers can refer to the journal article "The Diabacare Cloud: Predicting Diabetes Using Machine Learning" published in Acta Scientiarum. Technology. [Extracted from the article]