Health Recommender System in Social Networks: A Case of Facebook

The proliferation of social networks provides opportunities for people to enhance their health knowledge and share their health-related information with others. This study suggests the Health Recommender System (HRS) to users of a Facebook social network site to evaluate their health status. The met...

Full description

Saved in:
Bibliographic Details
Published inWebology Vol. 16; no. 1; pp. 40 - 54
Main Author Forouzandeh, Saman
Format Journal Article
LanguageEnglish
Published Tehran Dr. Alireza Noruzi, University of Tehran, Department of Library and Information Science 30.06.2019
Subjects
Clustering
Collaboration
Data mining
Decision making
Information systems
Literature reviews
Medical research
Public health
Recommender systems
Social networks
Social research
United States > US
Online AccessGet full text

Cover

More Information
Summary:The proliferation of social networks provides opportunities for people to enhance their health knowledge and share their health-related information with others. This study suggests the Health Recommender System (HRS) to users of a Facebook social network site to evaluate their health status. The methodology of this paper includes two phases, in the first phase, we collected 1428 patients' data from 4 hospitals in Tehran and, in the second phase, recommendation system provides some suggestions for users based on their current health status. The results show the effectiveness of suggested HRS in predicting the health status of Facebook users. In addition, customizing healthy status and lifestyle for users using HRS can help them to stay in a healthy condition, reducing the costs of medicine. The outcome of this research can be beneficial for health organizations to enhance individuals' health knowledge in order to preventions diseases.
ISSN:1735-188X
1735-188X
DOI:10.14704/WEB/V16I1/a178