Researchers from Department of Computer Sciences and Engineering Report Details of New Studies and Findings in the Area of Machine Learning (Diabetes Prediction Using Shapley Additive Explanations and Dsaas Over Machine Learning Classifiers: a...).

A report from researchers in Andhra Pradesh, India discusses the use of cloud computing, artificial intelligence (AI), and machine learning in predicting diabetes. The researchers propose a paradigm for smart healthcare systems that utilize data science and cloud-enabled platforms. They use data science capabilities to rank features and make predictions using a neural network model. The accuracy achieved by the classifier is 77.9%, with a positive predictive value of 79.3%. The research has been peer-reviewed and can be found in the journal Multimedia Tools and Applications. [Extracted from the article]