Affiliation:
1. Department of Computer Science and Engineering, National Institute of Technology Srinagar, Jammu and Kashmir, India
2. Department of Information Technology, School of Engineering & Technology, Central University of Kashmir Ganderbal, Jammu and Kashmir, India
Abstract
The rapid progress in domains like machine learning, and big data has created plenty
of opportunities in data-driven applications particularly healthcare. Incorporating machine intelligence
in healthcare can result in breakthroughs like precise disease diagnosis, novel methods
of treatment, remote healthcare monitoring, drug discovery, and curtailment in healthcare
costs. The implementation of machine intelligence algorithms on the massive healthcare datasets
is computationally expensive. However, consequential progress in computational power
during recent years has facilitated the deployment of machine intelligence algorithms in
healthcare applications. Motivated to explore these applications, this paper presents a review of research
works dedicated to the implementation of machine learning on healthcare datasets. The studies
that were conducted have been categorized into following groups (a) disease diagnosis and detection,
(b) disease risk prediction, (c) health monitoring, (d) healthcare related discoveries, and (e) epidemic
outbreak prediction. The objective of the research is to help the researchers in this field to get a
comprehensive overview of the machine learning applications in healthcare. Apart from revealing
the potential of machine learning in healthcare, this paper will serve as a motivation to foster advanced
research in the domain of machine intelligence-driven healthcare.
Publisher
Bentham Science Publishers Ltd.
Subject
Electrical and Electronic Engineering,Control and Optimization,Computer Networks and Communications,Computer Science Applications
Reference65 articles.
1. Manyikaetal J.; Big Data The Next Frontier for Innovation, Competition, and Productivity 2011
2. Magoulas G.D.; Prentza A.; Machine Learning in Medical Applications ACAI ’ 99 2001,300-307
3. Shishavan OR; Zois OS; Soyata T; Machine intelligence in healthcare and medical cyber physical systems: A survey IEEE access 2018,6,46420-46494
4. Gautam P.; Ansari M.D.; Sharma S.K.; Enhanced security for electronic health care information using obfuscation and RSA algorithm in cloud computing. Int J Inf Secur Priv 2019,13,59-69
5. Sethi K.; Jaiswal V.; Ansari M.D.; Machine learning based support system for students to select stream. Recent Pat Comput Sci 2019,13(3),12
Cited by
14 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献