Facial reconstruction

Search LJMU Research Online

Browse Repository | Browse E-Theses

A collaborative healthcare framework for shared healthcare plan with ambient intelligence

Javed, AR, Sarwar, MU, Beg, MO, Asim, M, Baker, T and Tawfik, H (2020) A collaborative healthcare framework for shared healthcare plan with ambient intelligence. Human-centric Computing and Information Sciences, 10 (1). ISSN 2192-1962

[img]
Preview
Text
A collaborative healthcare framework for shared healthcare plan with ambient intelligence.pdf - Published Version
Available under License Creative Commons Attribution.

Download (2MB) | Preview

Abstract

The fast propagation of the Internet of Things (IoT) devices has driven to the development of collaborative healthcare frameworks to support the next generation healthcare industry for quality medical healthcare. This paper presents a generalized collaborative framework named collaborative shared healthcare plan (CSHCP) for cognitive health and fitness assessment of people using ambient intelligent application and machine learning techniques. CSHCP provides support for daily physical activity recognition, monitoring, assessment and generate a shared healthcare plan based on collaboration among different stakeholders: doctors, patient guardians, as well as close community circles. The proposed framework shows promising outcomes compared to the existing studies. Furthermore, the proposed framework enhances team communication, coordination, long-term plan management of healthcare information to provide a more efficient and reliable shared healthcare plans to people.

Item Type: Article
Uncontrolled Keywords: 0801 Artificial Intelligence and Image Processing, 0805 Distributed Computing, 0806 Information Systems
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > R Medicine (General)
Divisions: Computer Science & Mathematics
Publisher: Springer
Related URLs:
Date Deposited: 22 Jan 2021 12:58
Last Modified: 22 Jan 2021 13:00
DOI or Identification number: 10.1186/s13673-020-00245-7
URI: https://researchonline.ljmu.ac.uk/id/eprint/14309

Actions (login required)

View Item View Item