Applications of Machine Learning in Healthcare and Internet of Things (IOT): A Comprehensive Review

• URL: http://arxiv.org/abs/2202.02868v1
• Date: Sun, 6 Feb 2022 21:56:39 GMT
• Title: Applications of Machine Learning in Healthcare and Internet of Things (IOT): A Comprehensive Review
• Authors: Farid Ghareh Mohammadi, Farzan Shenavarmasouleh, Hamid R. Arabnia
• Abstract summary: We present an extensive review of the state-of-the-art machine learning applications particularly in healthcare. We highlight some open-ended issues of IoT in healthcare that leaves further research studies and investigation for scientists.
• Score: 2.1270496914042996
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: In recent years, smart healthcare IoT devices have become ubiquitous, but they work in isolated networks due to their policy. Having these devices connected in a network enables us to perform medical distributed data analysis. However, the presence of diverse IoT devices in terms of technology, structure, and network policy, makes it a challenging issue while applying traditional centralized learning algorithms on decentralized data collected from the IoT devices. In this study, we present an extensive review of the state-of-the-art machine learning applications particularly in healthcare, challenging issues in IoT, and corresponding promising solutions. Finally, we highlight some open-ended issues of IoT in healthcare that leaves further research studies and investigation for scientists.

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