Analyzing recommender systems for health promotion using a multidisciplinary taxonomy: A scoping review
No Thumbnail Available
Date
2018-05-14
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
Underdiv Underspan style font size 10 5755px Recommender systems are information retrieval systems that provide users with relevant items e g through messages Despite their extensive use in the e commerce and leisure domains their application in healthcare is still in its infancy These systems may be used to create tailored health interventions thus reducing the cost of healthcare and fostering a healthier lifestyle in the population Under span Under div Underdiv Andnbsp Under div Underdiv Underspan style font size 10 5755px ObjectiveUnder span Under div Underdiv Underspan style font size 10 5755px This paper identifies categorizes and analyzes the existing knowledge in terms of the literature published over the past 10 years on the use of health recommender systems for patient interventions The aim of this study is to understand the scientific evidence generated about health recommender systems to identify any gaps in this field to achieve the United Nations Sustainable Development Goal 3 SDG3 namely Ensure healthy lives and promote well being for all at all ages and to suggest possible reasons for these gaps as well as to propose some solutions Under span Under div
Description
Keywords
Client, Access to information or data, Addressing individual beliefs and practices, Usability, Efficacy, Effectiveness, Health education or promotion, Social and behavior change communication, Mass messaging campaigns, SMS, Text