Journal
3 BIOTECH
Volume 8, Issue 8, Pages -Publisher
SPRINGER HEIDELBERG
DOI: 10.1007/s13205-018-1368-y
Keywords
Biosensors; Artificial intelligence; The point of care diagnostics; Big data; Internet of things
Categories
Funding
- Department of Science and Technology, Govt. of India through FIST grant [1196 SR/FST/LS-I/2017/4]
Ask authors/readers for more resources
Biosensor-based devices are pioneering in the modern biomedical applications and will be the future of cardiac health care. The coupling of artificial intelligence (AI) for cardiac monitoring-based biosensors for the point of care (POC) diagnostics is prominently reviewed here. This review deciphers the most significant machine-learning algorithms for the futuristic biosensors along with the internet of things, computational techniques and microchip-based essential cardiac biomarkers for real-time health monitoring and improving patient compliance. The present review also discusses the recently developed cardiac biosensors along with technical strategies involved in their mechanism of working and their applications in healthcare. Additionally, it provides a key for the ontogeny of an effective and supportive hierarchical protocol for clinical decision-making about personalized medicine through combinatory information analysis, and integrated multidisciplinary AI approaches.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available