Machine Learning Based Healthcare Service Dissemination Using Social Internet of Things and Cloud Architecture in Smart Cities
Vishnu Kumar Kaliappan,
Sundharamurthy Gnanamurthy,
Abid Yahya,
Ravi Samikannu,
Muhammad Babar (),
Basit Qureshi and
Anis Koubaa
Additional contact information
Vishnu Kumar Kaliappan: Department of Computer Science and Engineering, KPR Institute of Engineering and Technology, Coimbatore 641407, Tamil Nadu, India
Sundharamurthy Gnanamurthy: Department of Computer Science and Engineering, Kuppam Engineering College Chittoor, Kuppam 517425, Andhra Pradesh, India
Abid Yahya: Department of Electrical, Computer and Telecommunications Engineering, Botswana International University of Science and Technology, Palapye 10071, Botswana
Ravi Samikannu: Department of Electrical, Computer and Telecommunications Engineering, Botswana International University of Science and Technology, Palapye 10071, Botswana
Muhammad Babar: Robotics and Internet of Things Lab, Prince Sultan University, Riyadh 12435, Saudi Arabia
Basit Qureshi: College of Computer and Information Sciences, Prince Sultan University, Riyadh 12435, Saudi Arabia
Anis Koubaa: Robotics and Internet of Things Lab, Prince Sultan University, Riyadh 12435, Saudi Arabia
Sustainability, 2023, vol. 15, issue 6, 1-15
Abstract:
Smart healthcare using the cloud and the Internet of Things (IoT) allows for remote patient monitoring, real-time data collection, improved data security, and cost-effective storage and analysis of healthcare data. This paper proposes an information-centric dissemination scheme (ICDS) for smart healthcare services in smart cities. The proposed scheme addresses the time sensitiveness of healthcare data and aims to ensure consistent dissemination. The ICDS uses decision-tree learning to classify requests based on time-sensitive features, allowing prioritization of access. The scheme also involves segregating sensitive information and distributing digital health data within the classified time to retain time sensitiveness and prioritize access. The learning is then modified for the leaves based on data significance and minimum resources to reduce waiting times and improve availability.
Keywords: smart healthcare; cloud; internet of things; tree learning (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.mdpi.com/2071-1050/15/6/5457/pdf (application/pdf)
https://www.mdpi.com/2071-1050/15/6/5457/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:15:y:2023:i:6:p:5457-:d:1102209
Access Statistics for this article
Sustainability is currently edited by Ms. Alexandra Wu
More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().