Affiliation:
1. Netaji Subhas University of Technology, India
Abstract
Currently, machine learning and artificial intelligence technology is one of the fastest growing trends all over the world, especially in the medical industry. The rise in the machine learning applications in the healthcare domain is giving substantial hope to the human race for achieving greater abilities to diagnose and treat illness. Machine learning is not only used in the diagnosis of the disease but also its prognosis. From discovering a compound as a drug to the marketing as well as monitoring of the potential drug, machine learning plays a vital role in each stage. Nearly, all the major companies in the medical space are moving towards machine learning and its potential applications in the medical industry. This chapter explains the concept of machine learning and its working as well as the applications in the medical industry. While it describes the basic concepts of machine learning in the medical industry, it also proposes future challenges for the aforementioned subject.
Reference34 articles.
1. Aggarwal, V. (2019). Indian Healthcare Industry Analysis. Retrieved from https://www.ibef.org/industry/healthcare-presentation
2. Movie Recommender System Using K-Means Clustering AND K-Nearest Neighbor
3. Unsupervised Clustering Methods for Medical Data: An Application to Thyroid Gland Data
4. Decision support, knowledge representation and management: A broad methodological spectrum. Findings from the Decision Support, Knowledge Representation and Management.;B.Brigl;Yearbook of Medical Informatics,2006
5. Brownlee, J. (2015). Basic Concepts in Machine Learning. Retrieved from https://bit.ly/2HT3qTC
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