Greg, ML – Machine Learning for Healthcare at a Scale

Abstract

This paper introduces the Greg, ML platform, a machine-learning engine and toolset conceived to generate automatic diagnostic suggestions based on patient profiles. Greg, ML departs from many other experiences in machine learning for healthcare in the fact that it was designed to handle a large number of different diagnoses, in the order of the hundreds. We discuss the architecture that stands at the core of Greg, ML, designed to handle the complex challenges posed by this ambitious goal, and confirm its effectiveness with experimental results based on the working prototype we have developed. Finally, we discuss challenges and opportunities related to the use of this kind of tools in medicine, and some important lessons learned while developing the tool. In this respect, we underline that Greg, ML should be conceived primarily as a support for expert doctors in their diagnostic decisions, and can hardly replace humans in their judgment.

Machine Learning-based Model for Early Prediction of Coronary Artery Disease

“…Machine Learning is used to study the determinants and predict people who are at risk of developing CVD [9], [10]. Machine learning approaches can analyze enormous amounts of data and uncover trends that humans might miss [11], [12]. It often improves efficiency and accuracy in the face of ever-increasing volumes of data being handled.…”