Machine Intelligence for Internet of Medical Things: Applications and Future Trends

A Review of Machine Learning Approaches for Identification of Health-Related Diseases

Author(s): Muhammad Yaseen Ayub*, Farman Ali Khan, Syeda Zillay Nain Zukhraf and Muhammad Hamza Akhlaq

Pp: 137-148 (12)

DOI: 10.2174/9789815080445123020012

* (Excluding Mailing and Handling)

Abstract

The field of medicine is one of the most respected and oldest professions in human history. It has a direct impact on human life. The main purpose of this chapter is to present a brief introduction to the use of advanced computer science technologies like machine learning in the process of disease detection. The chapter also discusses different machine learning algorithms which are used in the process of disease detection. It also points out which algorithms give better accuracy. This chapter lists all major and most commonly used machine learning libraries to detect various lifethreatening diseases. Lastly, a discussion on the future trends of technology which can be used in disease detection, and viral disease control is presented.


Keywords: Disease Detection, IoMT, Machine Learning, Machine Learning in IoMT.

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