research-article

Health Recommender System design in the context of CAREGIVERSPRO-MMD Project

Authors:

Luis Oliva-Felipe,

Cristian Barrué,

Emma Wolverson,

Marco Antomarini,

Isabelle Landrin,

Konstantinos Votis,

Ioannis Paliokas,

Ulises CortésAuthors Info & Claims

PETRA '18: Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference

Pages 462 - 469

https://doi.org/10.1145/3197768.3201558

Published: 26 June 2018 Publication History

Abstract

CAREGIVERSPRO-MMD an EU H2020 funded project aims to build a digital platform focusing on people living with dementia and their caregivers, offering a selection of advanced, individually tailored services enabling them to live well in the community for as long as possible. This paper provides an outline of a health recommender system designed in the context of the project to provide tailored interventions to caregivers and people living with dementia.

References

[1]

Jae-wook Ahn, Peter Brusilovsky, Jonathan Grady, Daqing He, and Sue Yeon Syn. 2007. Open user profiles for adaptive news systems: help or harm?. In Proceedings of the 16th international conference on World Wide Web. ACM, 11--20.

Digital Library

[2]

Administration on Aging" "Alliance for Aging Research. "2012". "Translating Innovation to Impact: Evidence-based interventions to support people with Alzheimer's disease and their caregivers at home and in the community". "MetLife Foundation".

[3]

Daniel Billsus and Michael J Pazzani. 1999. A hybrid user model for news story classification. In UM99 User Modeling. Springer, 99--108.

Digital Library

[4]

Robin Burke. 2007. Hybrid web recommender systems. In The adaptive web. Springer, 377--408.

Digital Library

[5]

André Calero Valdez, Martina Ziefle, Katrien Verbert, Alexander Felfernig, and Andreas Holzinger. 2016. Recommender Systems for Health Informatics: State-of-the-Art and Future Perspectives. Springer International Publishing, Cham, 391--414.

[6]

CAREGIVERSPRO-MMD Consortium. 2018. CAREGIVERSPRO-MMD. (2018). Retrieved March 2, 2018 from https://caregiversprommd-project.eu

[7]

Grupo de trabajo de la Guía de Práctica Clínica sobre la atención integral a las personas con enfermedad de Alzheimer y otras demencias. 2010. Guía de Práctica Clínica sobre la atención integral a las personas con enfermedad de Alzheimer y otras demencias. Agencia d'Informació, Avaluació i Qualitat en Salut de Catalunya;.

[8]

Karine Petitprez et al. 2011. Maladie d'Alzheimer et maladies apparentées: diagnostic et prise en charge. Recommendation de bonne pratique. Haute Autorié de Santé.

[9]

National Institute for Health and Clinical Excellence Social Care Institute for Excellence. 2007. A NICE-SCIE Guideline on supporting people with dementia and their carers in health and social care. The British Psychological Society and Gaskell.

[10]

Reinhard Guss and colleagues. 2014. A Guide to Psychosocial Interventions in Early Stages of Dementia,. The British Psychological Society.

[11]

Galen Chin-Lun Hung, Pei-Ching Yang, Chen-Yi Wang, and Jung-Hsien Chiang. 2015. A Smartphone-Based Personalized Activity Recommender System for Patients with Depression. In Proceedings of the 5th EAI International Conference on Wireless Mobile Communication and Healthcare (MOBIHEALTH'15). ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), ICST, Brussels, Belgium, Belgium, 253--257.

Digital Library

[12]

Joseph A Konstan, Bradley N Miller, David Maltz, Jonathan L Herlocker, Lee R Gordon, and John Riedl. 1997. GroupLens: applying collaborative filtering to Usenet news. Commun. ACM 40, 3 (1997), 77--87.

Digital Library

[13]

Yehuda Koren and Robert Bell. 2011. Advances in collaborative filtering. In Recommender systems handbook. Springer, 77--118.

Digital Library

[14]

Steve Lauriks, Annika Reinersmann, Henriëtte Geralde Van der Roest, FJM Meiland, Richard J Davies, Ferial Moelaert, Maurice D Mulvenna, Chris D Nugent, and Rose-Marie Dröes. 2007. Review of ICT-based services for identified unmet needs in people with dementia. Ageing Research Reviews 6, 3 (2007), 223--246.

[15]

Greg Linden, Brent Smith, and Jeremy York. 2003. Amazon. com recommendations: Item-to-item collaborative filtering. IEEE Internet computing 7, 1 (2003), 76--80.

Digital Library

[16]

Bernd Ludwig, Francesco Ricci, Zerrin Yumak, Nava Tintarev, Rong Hu, Pearl Pu, Efthimios Bothos, Dimitris Apostolou, Gregoris Mentzas, Robert G. Farrell, Catalina Danis, Sreeram Ramakrishnan, Wendy A. Kellogg, Ugan Yasavur, Reza Amini, and Christine L. Lisetti. 2012. Intrapersonal Retrospective Recommendation: Lifestyle Change Recommendations Using Stable Patterns of Personal Behavior.

[17]

Nicos Maglaveras, Vasilis Koutkias, Ioanna Chouvarda, Dimitrios G. Goulis, A. Avramides, D. Adamidis, George Louridas, and EA. Balas. 2002. Home care delivery through the mobile telecommunications platform: the Citizen Health System (CHS) perspective. Int J Med Inform. 68, 1--3 (2002), 99--111.

[18]

Esme Moniz-Cook, Myrra Vernooij-Dassen, Bob Woods, Martin Orrell, and Interdem Network. 2011. Psychosocial interventions in dementia care research: The INTERDEM manifesto. Aging & Mental Health 15, 3 (2011), 283--290. arXiv:https://doi.org/10.1080/13607863.2010.543665 21491215.

[19]

Salla Muuraiskangas, Marja Harjumaa, Kirsikka Kaipainen, and Miika Ermes. 2016. Process and Effects Evaluation of a Digital Mental Health Intervention targeted at Improving Occupational Well-being: Lessons From an Intervention Study With Failed adoption. JMIR Ment Health 3, 2 (2016).

[20]

OECD. {n. d.}. Skills Outlook 2013: First Results from the Survey of Adult Skills. ({n. d.}).

[21]

Institute of Medicine. 2015. PsychosocialInterventions for Mental and Substance Use Disorders: A Framework for Establishing Evidence-Based Standards. The National Academies Press, Washington, DC.

[22]

World Health Organisation. 2016. International Classification of Health Interventions. (2016). Retrieved March 2, 2018 from http://www.who.int/classifications/ichi/en/

[23]

Ronald C. Petersen, J.C. Stevens, Mary Ganguli, Eric G. Tangalos, J.L. Cummings, and Steven T. DeKosky. 2001. Practice parameter: Early detection of dementia: Mild cognitive impairment (an evidence-based review). Neurology 56, 9 (2001), 1133--1142. arXiv:http://n.neurology.org/content/56/9/1133.full.pdf

[24]

Mashfiqui Rabbi, Min Hane Aung, Mi Zhang, and Tanzeem Choudhury. 2015. MyBehavior: automatic personalized health feedback from user behaviors and preferences using smartphones. In UbiComp.

Digital Library

[25]

Francesco Ricci, Lior Rokach, and Bracha Shapira. 2011. Introduction to recommender systems handbook. In Recommender systems handbook. Springer, 1--35.

[26]

Carlos Luis Sanchez Bocanegra, Jose Luis Sevillano Ramos, Carlos Rizo, Anton Civit, and Luis Fernandez-Luque. 2017. HealthRecSys: A semantic content-based recommender system to complement health videos. BMC Medical Informatics and Decision Making 17, 1 (15 May 2017), 63.

[27]

Hanna Schäfer, Santiago Hors-Fraile, Raghav Pavan Karumur, André Calero Valdez, Alan Said, Helma Torkamaan, Tom Ulmer, and Christoph Trattner. 2017. Towards Health (Aware) Recommender Systems. In Proceedings of the 2017 International Conference on Digital Health (DH '17). ACM, New York, NY, USA, 157--161.

Digital Library

[28]

Dementia Carer Team. 2018. Dementia Carer. (2018). Retrieved March 1, 2018 from http://www.dementiacarer.net/

[29]

The PLOS Medicine Editors. 2013. A Reality Checkpoint for Mobile Health: Three Challenges to Overcome. PLoS Medicine 10, 2:e1001395 (2013).

[30]

WHO. 2013. Call for innovative health technologies. (2013). Retrieved March 1, 2018 fromhttp://www.who.int/ehealth/en/

[31]

WHO. 2016. Dementia Fact sheet. (2016). Retrieved March 1, 2018 from http://www.who.int/mediacentre/factsheets/fs362/en/

[32]

Martin Wiesner and Daniel Pfeifer. 2014. Health Recommender Systems: Concepts, Requirements, Technical Basics and Challenges. International Journal of Environmental Research and Public Health 11, 3 (2014), 2580--2607.

Cited By

Wang LSmriti DYuan HHuh-Yoo J(2024)Artificial Intelligence Systems for Supporting Informal Caregivers of People Living with Alzheimer's Disease or Related Dementias: A Systematic ReviewExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3650846(1-11)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3650846
Tiribelli SCalvaresi D(2024)Rethinking Health Recommender Systems for Active Aging: An Autonomy-Based Ethical AnalysisScience and Engineering Ethics10.1007/s11948-024-00479-z30:3Online publication date: 27-May-2024
https://doi.org/10.1007/s11948-024-00479-z
Dongre SAgrawal J(2023)Deep-Learning-Based Drug Recommendation and ADR Detection Healthcare Model on Social MediaIEEE Transactions on Computational Social Systems10.1109/TCSS.2022.323170110:4(1791-1799)Online publication date: Aug-2023
https://doi.org/10.1109/TCSS.2022.3231701
Show More Cited By

Index Terms

Health Recommender System design in the context of CAREGIVERSPRO-MMD Project
1. Human-centered computing
  1. Human computer interaction (HCI)
  2. Interaction design
    1. Systems and tools for interaction design

Recommendations

Medicine Reminder and Monitoring System for Secure Health Using IOT

In modern society, busy life has made people forget many things in day to day life. The elderly people and the people victims of chronicle diseases who need to take the medicines timely without missing are suffering from dementia, which is forgetting ...
RefineMind: A Mobile App for People with Dementia and Their Caregivers
The Next Wave of Sociotechnical Design
Abstract
Although there is no cure for dementia, in the earlier disease stages, while symptoms are not very severe, some non-pharmacological treatments aimed towards memory support and social interactions may preserve autonomy and dignity of dementia ...
Mobile application for caregiver in collecting statistical data of BPSD attack focused on macro activities: PhD forum abstract
SenSys '20: Proceedings of the 18th Conference on Embedded Networked Sensor Systems

BPSD affects Dementia patients often and varies. It is needed a best and suit treatment from doctors to handle BPSD attack toward Dementia patients. Therefore, to obtain accurate data of patients in daily care, caregivers are expected to conduct ...

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences

PETRA '18: Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference

June 2018

591 pages

ISBN:9781450363907

DOI:10.1145/3197768

Copyright © 2018 ACM.

© 2018 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

In-Cooperation

NSF: National Science Foundation

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 June 2018

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article
Research
Refereed limited

Funding Sources

Horizon 2020

Conference

PETRA '18

PETRA '18: The 11th PErvasive Technologies Related to Assistive Environments Conference

June 26 - 29, 2018

Corfu, Greece

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

5
Total Citations
View Citations
263
Total Downloads

Downloads (Last 12 months)23
Downloads (Last 6 weeks)6

Reflects downloads up to 30 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

Wang LSmriti DYuan HHuh-Yoo J(2024)Artificial Intelligence Systems for Supporting Informal Caregivers of People Living with Alzheimer's Disease or Related Dementias: A Systematic ReviewExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3650846(1-11)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3650846
Tiribelli SCalvaresi D(2024)Rethinking Health Recommender Systems for Active Aging: An Autonomy-Based Ethical AnalysisScience and Engineering Ethics10.1007/s11948-024-00479-z30:3Online publication date: 27-May-2024
https://doi.org/10.1007/s11948-024-00479-z
Dongre SAgrawal J(2023)Deep-Learning-Based Drug Recommendation and ADR Detection Healthcare Model on Social MediaIEEE Transactions on Computational Social Systems10.1109/TCSS.2022.323170110:4(1791-1799)Online publication date: Aug-2023
https://doi.org/10.1109/TCSS.2022.3231701
de Lima ADantas LManzato MPimentel MOrlandi BCastro P(2021)An Interpretable Recommendation Model for Gerontological CareProceedings of the 15th ACM Conference on Recommender Systems10.1145/3460231.3478850(620-626)Online publication date: 13-Sep-2021
https://dl.acm.org/doi/10.1145/3460231.3478850
Shaikh TAli R(2020)Computer-aided Big Healthcare Data (BHD) AnalyticsBig Data Analytics and Intelligence: A Perspective for Health Care10.1108/978-1-83909-099-820201010(115-138)Online publication date: 30-Sep-2020
https://doi.org/10.1108/978-1-83909-099-820201010

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents