Machine Learning in Healthcare

Abstract

The Internet of Things is providing an increasing amount of health data, which machine learning techniques in healthcare use to improve patient outcomes. These methods offer significant challenges along with promising applications. Genetic data, medical document natural language processing, and medical imaging are the three primary domains where machine learning is used. Numerous of these fields concentrate on prediction, detection, and diagnosis. There is currently a sizable medical device infrastructure that generates data, but frequently there is not a supporting infrastructure in place to make effective use of such data. Medical information can be found in a wide variety of formats, which can lead to noise and formatting issues.