Applicability of ML-IoT in Smart Healthcare Systems: Challenges, Solutions Future Direction
12th International Conference on Computer Communication and Informatics, ICCCI 2022
; 2022.
Article
in English
| Scopus | ID: covidwho-1831792
ABSTRACT
In today's world, as population is at high peak and due to changing life style of people, individuals are suffering from various chronic disease. With shift towards modern methodology, involvement of human efforts has decreased, as know a day's people need to finish particular amount of task within few hours and with less effort. No doubt technology has made less intervention of human but it has certain limitations too. Due to less physical involvement, humans are more prone to diseases. Internet of things (IoT) plays a very crucial role in health care sector. Using various sensors, it become possible to trace the medical health condition of the human, and a message can be forwarded to nearby hospitals which helps the patients with ease. In this paper, three different diseases like heart disease, diabetes and novel COVID-19 are discussed where different machine learning algorithms are reviewed with involvement of IoT sensors. © 2022 IEEE.
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Databases of international organizations
Database:
Scopus
Language:
English
Journal:
12th International Conference on Computer Communication and Informatics, ICCCI 2022
Year:
2022
Document Type:
Article
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