Watching the risk factors: Artificial intelligence and the prevention of chronic conditions

Informations projet

WARIFA

N° de convention de subvention: 101017385

DOI

10.3030/101017385

Projet clôturé

Date de signature de la CE 14 Decembre 2020

Date de début 1 Janvier 2021

Date de fin 30 Juin 2025

Financé au titre de

• SOCIETAL CHALLENGES - Health, demographic change and well-being

Coût total

€ 6 876 063,53

Contribution de l’UE

€ 6 000 000,00

Coordonné par

UNIVERSITETSSYKEHUSET NORD-NORGE HF
Norway

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Websites, patent fillings, videos etc. (2)

Web page included in the WARIFA website containing a prototype of map display of the community risk profiles for the pilot communities studied in Romania, Spain and Norway

Web page included in the WARIFA website containing a prototype of map display of the community risk profiles for the pilot communities studied in Romania, Spain and Norway (M24)

Web site

Documents, reports (24)

Periodic activity and management report update
Report of the risk factors at the community level in pilot communities in Norway, Romania, Spain

Report of the risk factors at the community level in pilot communities in Norway Romania Spain

Report on the specifications of the WARIFA app interface
Dissemination activities report
Periodic risk and ethics management report
Review of the literature on health-relevant outcomes

Review of the literature on healthrelevant outcomes

Report on the relevant data sources requirements (including from sensors and public community data sources)

Report on the relevant data sources requirements including from sensors and public community data sources

Plan for the dissemination and exploitation of results
QA Plan

D11 QA Plan M3 T11

Risk Management guideline

Risk management guideline M6 T14

Plan for the dissemination and exploitation of results update 1

Update Plan for the dissemination and exploitation of results

Evidence basis report on existing validated risk calculators and preventive digital systems for the studied CCs
Review of the literature on app-use and usability

Review of the literature on appuse and usability

Participant identification and recruitement plan

Participant identification recruitment plan and informed consent procedures

Periodic activity and ethics management report

Periodic activity and management report

Periodic risk and ethics management report update 2
Data security and anonymisation measures
Plan for the dissemination and exploitation of results - update
Report on end-user interface design and usability-related requirements

Report on enduser interface design and usabilityrelated requirements M18

Final version of blueprint of the AI preventive system including input and output variables, end-user interface design and usability-related requirements

Final version of blueprint of the AI preventive system including input and output variables, end-user interface design and usability-related requirements (M36)

Confirmation of legal basis for data protection
Personalisation and validation protocol
Data minimisation plan
Blueprint for the design of the AI preventive system including input and output variables

Blueprint for the design of the AI preventive system including input and output variables

Open Research Data Pilot (1)

Data Management Plan

Demonstrators, pilots, prototypes (5)

Data pilot into a joint processing pipeline for data fusion and feature extraction
Pilot prototype on heterogenous data for monitor risk factors and to provide preventive behavior over time
List of risk factors and a risk calculator
Description of the designed graphical user interfaces and data acquisition functionalities
Demonstration of the data acquisition functionalities as part of the WARIFA app

Other (1)

Method for generating the optimum model to be transmitted to WP6 based on information from WP4

Publications

Peer reviewed articles (16)

Transfer learning for a tabular-to-image approach: A case study for cardiovascular disease prediction

Auteurs: Francisco J. Lara-Abelenda, David Chushig-Muzo, Pablo Peiro-Corbacho, Vanesa Gómez-Martínez, Ana M. Wägner, Conceição Granja, Cristina Soguero-Ruiz
Publié dans: Journal of Biomedical Informatics, Numéro 165, 2025, Page(s) 104821, ISSN 1532-0464
Éditeur: Academic Press
DOI: 10.1016/j.jbi.2025.104821

Investigating the validity of structure learning algorithms in identifying risk factors for intervention in patients with diabetes

Auteurs: Sheresh Zahoor, Anthony C. Constantinou, Tim M. Curtis, Mohammed Hasanuzzaman
Publié dans: Knowledge-Based Systems, 2025, Page(s) 114382, ISSN 0950-7051
Éditeur: Elsevier BV
DOI: 10.1016/j.knosys.2025.114382

Ensemble feature selection and tabular data augmentation with generative adversarial networks to enhance cutaneous melanoma identification and interpretability

Auteurs: Vanesa Gómez-Martínez, David Chushig-Muzo, Marit B. Veierød, Conceição Granja, Cristina Soguero-Ruiz
Publié dans: BioData Mining, Numéro 17, 2024, ISSN 1756-0381
Éditeur: BioMed Central
DOI: 10.1186/s13040-024-00397-7

Incorporating Uncertainty Estimation and Interpretability in Personalized Glucose Prediction Using the Temporal Fusion Transformer

Auteurs: Antonio J. Rodriguez-Almeida, Carmelo Betancort, Ana M. Wägner, Gustavo M. Callico, Himar Fabelo, null null
Publié dans: Sensors, Numéro 25, 2025, Page(s) 4647, ISSN 1424-8220
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s25154647

VNIR–NIR hyperspectral imaging fusion targeting intraoperative brain cancer detection

Auteurs: Raquel Leon, Himar Fabelo, Samuel Ortega, Juan F. Piñeiro, Adam Szolna, Maria Hernandez, Carlos Espino, Aruma J. O’Shanahan, David Carrera, Sara Bisshopp, Coralia Sosa, Mariano Marquez, Jesus Morera, Bernardino Clavo, Gustavo M. Callico
Publié dans: Scientific Reports, Numéro 11, 2022, ISSN 2045-2322
Éditeur: Nature Publishing Group
DOI: 10.1038/s41598-021-99220-0

Making “inclusion” more than a buzzword: A critical interpretive synthesis of literature about recruiting seldom-heard groups in health research

Auteurs: Meghan Bradway, Lilisbeth Perestelo-Perez, Alezandra Torres-Castaño, Ana Maria Claudia Wagner, María Luisa Álvarez-Malé, Garlene Beatriz Zamora Zamorano, Kari Dyb
Publié dans: PLOS One, Numéro 20, 2025, Page(s) e0318466, ISSN 1932-6203
Éditeur: Public Library of Science
DOI: 10.1371/journal.pone.0318466

Evaluation of Synthetic Categorical Data Generation Techniques for Predicting Cardiovascular Diseases and Post-Hoc Interpretability of the Risk Factors

Auteurs: Clara García-Vicente; David Chushig-Muzo; Inmaculada Mora-Jiménez; Himar Fabelo; Inger Torhild Gram; Maja-Lisa Løchen; Conceição Granja; Cristina Soguero-Ruiz
Publié dans: Applied Science, Numéro Volume 13, Numéro 7, 2023, ISSN 2076-3417
Éditeur: Applied Science
DOI: 10.3390/app13074119

Interpretable Data-Driven Approach Based on Feature Selection Methods and GAN-Based Models for Cardiovascular Risk Prediction in Diabetic Patients

Auteurs: David Chushig-Muzo, Hugo Calero-Díaz, Francisco J. Lara-Abelenda, Vanesa Gómez-Martínez, Conceição Granja, Cristina Soguero-Ruiz
Publié dans: IEEE Access, Numéro 12, 2024, Page(s) 84292-84305, ISSN 2169-3536
Éditeur: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2024.3412789

Quality, Usability, and Effectiveness of mHealth Apps and the Role of Artificial Intelligence: Current Scenario and Challenges

Auteurs: Alejandro Deniz-Garcia; Himar Fabelo; Antonio J Rodriguez-Almeida; Garlene Zamora-Zamorano; Maria Castro-Fernandez; Maria del Pino Alberiche Ruano; Terje Solvoll; Conceição Granja; Thomas Roger Schopf; Gustavo M Callico; Cristina Soguero-Ruiz; Ana M Wägner; WARIFA Consortium
Publié dans: Journal of Medical Internet Research, Numéro v.25; 2023, 2023, ISSN 1438-8871
Éditeur: Journal of medical Internet Research
DOI: 10.2196/44030

Characterizing the Impact of Physical Activity on Patients with Type 1 Diabetes Using Statistical and Machine Learning Models

Auteurs: David Chushig-Muzo, Hugo Calero-Díaz, Himar Fabelo, Eirik Årsand, Peter Ruben van Dijk, Cristina Soguero-Ruiz
Publié dans: Applied Sciences, Numéro 14, 2025, Page(s) 9870, ISSN 2076-3417
Éditeur: MDPI AG
DOI: 10.3390/app14219870

Personalized glucose forecasting for people with type 1 diabetes using large language models

Auteurs: Francisco J. Lara-Abelenda, David Chushig-Muzo, Pablo Peiro-Corbacho, Ana M. Wägner, Conceição Granja, Cristina Soguero-Ruiz
Publié dans: Computer Methods and Programs in Biomedicine, Numéro 265, 2025, Page(s) 108737, ISSN 0169-2607
Éditeur: Elsevier BV
DOI: 10.1016/j.cmpb.2025.108737

An AI-based module for interstitial glucose forecasting enabling a “Do-It-Yourself” application for people with type 1 diabetes

Auteurs: Antonio J. Rodriguez-Almeida, Guillermo V. Socorro-Marrero, Carmelo Betancort, Garlene Zamora-Zamorano, Alejandro Deniz-Garcia, María L. Álvarez-Malé, Eirik Årsand, Cristina Soguero-Ruiz, Ana M. Wägner, Conceição Granja, Gustavo M. Callico, Himar Fabelo
Publié dans: Frontiers in Digital Health, Numéro 7, 2025, ISSN 2673-253X
Éditeur: Frontiers Media SA
DOI: 10.3389/fdgth.2025.1534830

Interpretable and multimodal fusion methodology to predict severe hypoglycemia in adults with type 1 diabetes

Auteurs: Francisco J. Lara-Abelenda, David Chushig-Muzo, Ana M. Wägner, Maryam Tayefi, Cristina Soguero-Ruiz
Publié dans: Engineering Applications of Artificial Intelligence, Numéro 144, 2025, Page(s) 110142, ISSN 0952-1976
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.engappai.2025.110142

Evaluating Time Series Classification Models for Nocturnal Hypoglycemia: From Predictive Performance to Environmental Impact

Auteurs: Francisco J. Lara-Abelenda, David Chushig-Muzo, Carmelo Betancort Acosta, Ana M. Wägner, Conceição Granja, Cristina Soguero-Ruiz
Publié dans: IEEE Access, Numéro 13, 2025, Page(s) 150756-150771, ISSN 2169-3536
Éditeur: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2025.3600917

A Bayesian Belief Network model for the estimation of risk of cardiovascular events in subjects with type 1 diabetes

Auteurs: Ornella Moro, Inger Torhild Gram, Maja-Lisa Løchen, Marit B. Veierød, Ana Maria Wägner, Giovanni Sebastiani
Publié dans: Computers in Biology and Medicine, Numéro 190, 2025, ISSN 0010-4825
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.compbiomed.2025.109967

Prediction of hypoglycaemia in subjects with type 1 diabetes during physical activity

Auteurs: Ornella Moro, Giovanni Sebastiani
Publié dans: Open Health, Numéro 6, 2025, ISSN 2544-9826
Éditeur: Walter de Gruyter GmbH
DOI: 10.1515/ohe-2025-0060

Book chapters (1)

Using One App Only – Collecting a Comprehensive Set of Health-Related Data for Prevention of Chronic Conditions

Auteurs: Eirik Årsand, null null, Miroslav Muzny, Tina Rishaug, Anna M. Wägner, Carmelo Betancort, Conceição Granja, Cristina Soguero-Ruiz, Gunnar Hartvigsen, Mihai Namolosanu, Mikael Rinnetmäki, André Henriksen
Publié dans: Studies in Health Technology and Informatics, Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024
Éditeur: IOS Press
DOI: 10.3233/shti240391

Conference proceedings (3)

Who are the “Hard-to-Reach” groups in chronic-health and health technology research? A scoping review

Auteurs: Meghan Bradway, Henriette Lauvhaug Nybakke, Stine Agnete Ingebrigtsen and Kari Dyb
Publié dans: Proceedings of the 18th Scandinavian Conference on Health Informatics, Numéro August 2022, 2022, Page(s) 195-203, ISBN 978-91-7929-344-4
Éditeur: Linköping University Electronic Press
DOI: 10.3384/ecp187032

Evaluating the use of Hyperspectral Imaging as Complementary Blood Sample Tests

Auteurs: Himar Fabelo, Raquel Leon, Samuel Ortega, Francisco Balea-Fernandez, Bernardino Clavo, Gustavo M. Callico, Ana Wagner
Publié dans: 2021 XXXVI Conference on Design of Circuits and Integrated Systems (DCIS), 2022, Page(s) 1-6
Éditeur: IEEE
DOI: 10.1109/dcis53048.2021.9666164

Hyperspectral VNIR and NIR Sensors for the Analysis of Human Normal Brain and Tumor Tissue

Auteurs: Raquel Leon, Himar Fabelo, Samuel Ortega, Gustavo M. Callico
Publié dans: 2021 XXXVI Conference on Design of Circuits and Integrated Systems (DCIS), 2023, Page(s) 1-6
Éditeur: IEEE
DOI: 10.1109/dcis53048.2021.9666168

Non-peer reviewed articles (1)

Normal Approximation of Random Gaussian Neural Networks

Auteurs: Nicola Apollonio, Daniela De Canditiis, Giovanni Franzina, Paola Stolfi, Giovanni Luca Torrisi
Publié dans: Stochastic Systems, Numéro 15, 2025, Page(s) 88-110, ISSN 1946-5238
Éditeur: Institute for Operations Research and the Management Sciences (INFORMS)
DOI: 10.1287/stsy.2023.0033