Machine Learning in Healthcare: A Review

Abstract

This study attempts to introduce artificial intelligence and its significant subfields in machine learning algorithms and reviews the role of these subfields in various areas in healthcare such as bioinformatics, gene detection for cancer diagnosis, epileptic seizure, brain-computer interface. It also reviews the medical image processing through deep learning for diseases such as diabetic retinopathy, gastrointestinal disease, and tumour. And finally, this article discusses the real-world obstacles that need to be overcome to make AI techniques easier to use.