2017 23rd Asia-Pacific Conference on Communications (APCC) 2017
DOI: 10.23919/apcc.2017.8304017
|View full text |Cite
|
Sign up to set email alerts
|

An assistive healthcare platform for both social and service networking for engaging elderly people

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2018
2018
2021
2021

Publication Types

Select...
3
1
1

Relationship

1
4

Authors

Journals

citations
Cited by 5 publications
(3 citation statements)
references
References 16 publications
0
3
0
Order By: Relevance
“…Hagan et al [12] analyzed 17 studies related to loneliness interventions and found that network communication technology could significantly reduce loneliness. Further studies confirmed a positive and significant relationship between social networks and quality of life of the elderly [13][14][15][16][17]. The size of the social network and the satisfaction of social interactions have also been shown to be associated with autism and depression in the elderly [18][19][20].…”
Section: Social Network and Applications Can Effectively Reduce Socimentioning
confidence: 69%
“…Hagan et al [12] analyzed 17 studies related to loneliness interventions and found that network communication technology could significantly reduce loneliness. Further studies confirmed a positive and significant relationship between social networks and quality of life of the elderly [13][14][15][16][17]. The size of the social network and the satisfaction of social interactions have also been shown to be associated with autism and depression in the elderly [18][19][20].…”
Section: Social Network and Applications Can Effectively Reduce Socimentioning
confidence: 69%
“…The design and implementation in the following section were developed as part of the implementation of an online platform that integrated social network and service network for elderly people [12]. It aims to develop a collaborative environment for elderly people and engage them to the community by allowing them to act as a service contributor.…”
Section: Design and Implementationmentioning
confidence: 99%
“…There are various ways to predict user behavior such as a particular timestamp, which kind of web services mostly accessed by a user. Identify commonly used browsers by user [9] [20]. Suggest friend/group in social networking with various constraints.…”
Section: Web Usage Miningmentioning
confidence: 99%