Overview of Machine Learning Approaches Applied in Disease Profiling

Abstract

We analyzed IEEE, ACM, SpringerLink and the AIS Basket of 8 for peer-reviewed articles related to machine learning-based disease profiling and built an overview of machine learning methods applied for disease profiling. It was found that machine learning methods are widely applied in disease profiling, especially in cancer diagnostics and heart disease profiling. There is also a shift from traditional approaches (support vector machines, decision trees) to modern convolutional neural networks.