University of Oulu

G. Giunti, D. H. Giunta, S. Hors-Fraile, M. Isomursu and D. Karosevičiūtė, "Detecting Gamification in Breast Cancer Apps: An Automatic Methodology for Screening Purposes," 2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS), Thessaloniki, 2017, pp. 654-659. doi: 10.1109/CBMS.2017.21

Detecting gamification in breast cancer apps : an automatic methodology for screening purposes

Saved in:
Author: Giunti, Guido1; Giunta, Diego H.2; Hors-Fraile, Santiago3;
Organizations: 1Salumedia Tecnologías, Seville, Spain
2Hospital Italiano de Bs. As. Buenos Aires, Argentina
3Universidad de Sevilla, Seville, Spain
4Oulun Yliopisto, Oulu, Finland
5Kauno Tech. Universitetas, Kaunas, Lithuania
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.7 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2019060418331
Language: English
Published: Institute of Electrical and Electronics Engineers, 2017
Publish Date: 2019-06-04
Description:

Abstract

Breast cancer is the most common cancer in women both in developed and developing countries. More than half of all cancer mobile application concern breast cancer. Gamification is widely used in mobile software applications created for health-related services. Current prevalence of gamification in breast cancer apps is unknown and detection must be manually performed. The purpose of this study is to describe and produce a tool allowing automatic detection of apps which contain gamification elements and thus empowering researchers to study gamification using large data samples. Predictive logistic regression model was designed on data extracted from breast cancer apps title and description text available in app stores. Model was validated comparing estimated and benchmark values, observed by gamification specialists. Studys outcome can be applied as a screening tool to efficiently identify gamification presence in breast cancer apps for further research.

see all

Series: Proceedings. IEEE International Symposium on Computer-Based Medical Systems
ISSN: 2372-918X
ISSN-E: 2372-9198
ISSN-L: 2372-918X
ISBN: 978-1-5386-1710-6
ISBN Print: 978-1-5386-1711-3
Pages: 654 - 659
Article number: 8104273
DOI: 10.1109/CBMS.2017.21
OADOI: https://oadoi.org/10.1109/CBMS.2017.21
Host publication: Proceedings of the 2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS), 22-24 June 2017, Aristotle University of Thessaloniki, Greece
Host publication editor: Bamidis, Panagiotis D.
Konstantinidis, Stathis Th.
Rodrigues, Pedro Pereira
Conference: International Symposium on Computer-Based Medical Systems
Type of Publication: A4 Article in conference proceedings
Field of Science: 113 Computer and information sciences
222 Other engineering and technologies
3122 Cancers
3141 Health care science
Subjects:
Funding: Guido Giunti gratefully acknowledges the grant number 676201 for the Connected Health Early Stage researcher Support System (CHESS ITN) from the Horizon 2020 Program of the European Commission.
Copyright information: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.