Detecting Gamification in Breast Cancer Apps: An Automatic Methodology for Screening Purposes

Guido Giunti, Diego H. Giunta, Santiago Hors-Fraile, Minna Isomursu, Diana Karoseviciute

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

3 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE 30th International Symposium on Computer-Based Medical Systems, CBMS 2017
EditorsPanagiotis D. Bamidis, Stathis Th. Konstantinidis, Pedro Pereira Rodrigues
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages654-659
Number of pages6
ISBN (Electronic)9781538617106
DOIs
Publication statusPublished - 10 Nov 2017
Event30th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2017 - Thessaloniki, Greece
Duration: 22 Jun 201724 Jun 2017

Publication series

NameProceedings - IEEE Symposium on Computer-Based Medical Systems
Volume2017-June
ISSN (Print)1063-7125

Conference

Conference30th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2017
Country/TerritoryGreece
CityThessaloniki
Period22/06/1724/06/17

Bibliographical note

Funding Information:
ACKNOWLEDGMENT 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.

Publisher Copyright:
© 2017 IEEE.

Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.

Keywords

  • breast cancer
  • gamification
  • health apps
  • medical apps
  • medical informatics
  • mHealth
  • predictive models

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