An AI tool, created by researchers at Johns Hopkins and Duke universities, could revolutionize how public health officials predict, track and manage outbreaks of infectious diseases including flu ...

Contribute to imlokesha/Heart-Disease-Prediction development by creating an account on GitHub.

A recent review explored how integrating machine learning with traditional statistical models can enhance disease risk prediction accuracy, a key tool in clinical decision-making.

By integrating multi-omics data, MILTON improves disease prediction and biomarker identification, advancing the field of preventative medicine and diagnostics.

A machine learning-based heart disease prediction model (ML-HDPM) that uses various combinations of information and numerous recognized categorization methods.

While advancements in assistive technology, exemplified by cap-controlled wheelchairs [8] , showcase the potential of intelligent systems, our study delves into the application of machine learning and ...