dc.contributor.author |
Mansoor, C. M. M. |
|
dc.date.accessioned |
2022-01-11T06:55:10Z |
|
dc.date.available |
2022-01-11T06:55:10Z |
|
dc.date.issued |
2021-12 |
|
dc.identifier.citation |
Kalam, International Research Journal, Faculty of Arts and Culture,14(4), 2021. pp. 83-92. |
en_US |
dc.identifier.issn |
1391-6815 |
|
dc.identifier.issn |
2738-22 |
|
dc.identifier.uri |
http://ir.lib.seu.ac.lk/handle/123456789/5967 |
|
dc.description.abstract |
Due to the obvious fast growing aging population and the attendant health difficulties, it is seen as a
major problem in society. Remote health monitoring is one of the most rapidly growing sectors,
owing to its advantages over standard hospital treatment process and procedures. Aged patients at
home may now be readily monitored because to advances in sensor and communication technology.
It is also known as Smart Healthcare Monitoring System. In this paper, it concentrated about the
main remote technologies which are used in elder citizen’s healthcare sector. Study focused
technologies are Internet of Things (IoT), Cloud Computing, Big data, Machine Learning (ML) as
well as Artificial Intelligence (AI) along with remote and wearable sensor network devices. Similarly,
research paper’s data are collected from previous published study paper from reputed publishers.
Also, the article contains systematic review approach as well. Furthermore, the study motivated on
IoT and Cloud Computing technology because of the high accuracy rate, user friendly manner,
efficient and effective results. Collaborating with health-care experts and giving both the technology
and the expertise for interventions to be successful, they will require both financial and technical
assistance. The large quantity of the dataset and the lack of quality attributes were two of the study's
limitations. Finally, research recommended the IoT and Cloud Computing with maximum
compatibility or user-friendly with senior citizen’s remote healthcare areas. |
en_US |
dc.language.iso |
en_US |
en_US |
dc.publisher |
Faculty of Arts and Culture, South Eastern University of Sri Lanka, University Park, Oluvil. |
en_US |
dc.subject |
Artificial intelligence |
en_US |
dc.subject |
Cloud Computing |
en_US |
dc.subject |
Elder citizen |
en_US |
dc.subject |
Internet of things |
en_US |
dc.subject |
Machine Learning |
en_US |
dc.title |
Smart healthcare platform for elderly monitoring with emerging technologies |
en_US |
dc.type |
Article |
en_US |