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

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

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

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 (öffnet in neuem Fenster)
Dissemination activities report (öffnet in neuem Fenster)
Periodic risk and ethics management report (öffnet in neuem Fenster)
Review of the literature on health-relevant outcomes (öffnet in neuem Fenster)

Review of the literature on healthrelevant outcomes

Report on the relevant data sources requirements (including from sensors and public community data sources) (öffnet in neuem Fenster)

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

Plan for the dissemination and exploitation of results (öffnet in neuem Fenster)
QA Plan (öffnet in neuem Fenster)

D11 QA Plan M3 T11

Risk Management guideline (öffnet in neuem Fenster)

Risk management guideline M6 T14

Plan for the dissemination and exploitation of results update 1 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)
Review of the literature on app-use and usability (öffnet in neuem Fenster)

Review of the literature on appuse and usability

Participant identification and recruitement plan (öffnet in neuem Fenster)

Participant identification recruitment plan and informed consent procedures

Periodic activity and ethics management report (öffnet in neuem Fenster)

Periodic activity and management report

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

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)
Personalisation and validation protocol (öffnet in neuem Fenster)
Data minimisation plan (öffnet in neuem Fenster)
Blueprint for the design of the AI preventive system including input and output variables (öffnet in neuem Fenster)

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

Veröffentlichungen

Transfer learning for a tabular-to-image approach: A case study for cardiovascular disease prediction (öffnet in neuem Fenster)

Autoren: Francisco J. Lara-Abelenda, David Chushig-Muzo, Pablo Peiro-Corbacho, Vanesa Gómez-Martínez, Ana M. Wägner, Conceição Granja, Cristina Soguero-Ruiz
Veröffentlicht in: Journal of Biomedical Informatics, Ausgabe 165, 2025, Seite(n) 104821, ISSN 1532-0464
Herausgeber: 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 (öffnet in neuem Fenster)

Autoren: Sheresh Zahoor, Anthony C. Constantinou, Tim M. Curtis, Mohammed Hasanuzzaman
Veröffentlicht in: Knowledge-Based Systems, 2025, Seite(n) 114382, ISSN 0950-7051
Herausgeber: 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 (öffnet in neuem Fenster)

Autoren: Vanesa Gómez-Martínez, David Chushig-Muzo, Marit B. Veierød, Conceição Granja, Cristina Soguero-Ruiz
Veröffentlicht in: BioData Mining, Ausgabe 17, 2024, ISSN 1756-0381
Herausgeber: BioMed Central
DOI: 10.1186/s13040-024-00397-7

Incorporating Uncertainty Estimation and Interpretability in Personalized Glucose Prediction Using the Temporal Fusion Transformer (öffnet in neuem Fenster)

Autoren: Antonio J. Rodriguez-Almeida, Carmelo Betancort, Ana M. Wägner, Gustavo M. Callico, Himar Fabelo, null null
Veröffentlicht in: Sensors, Ausgabe 25, 2025, Seite(n) 4647, ISSN 1424-8220
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s25154647

VNIR–NIR hyperspectral imaging fusion targeting intraoperative brain cancer detection (öffnet in neuem Fenster)

Autoren: 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
Veröffentlicht in: Scientific Reports, Ausgabe 11, 2022, ISSN 2045-2322
Herausgeber: 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 (öffnet in neuem Fenster)

Autoren: Meghan Bradway, Lilisbeth Perestelo-Perez, Alezandra Torres-Castaño, Ana Maria Claudia Wagner, María Luisa Álvarez-Malé, Garlene Beatriz Zamora Zamorano, Kari Dyb
Veröffentlicht in: PLOS One, Ausgabe 20, 2025, Seite(n) e0318466, ISSN 1932-6203
Herausgeber: 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 (öffnet in neuem Fenster)

Autoren: Clara García-Vicente; David Chushig-Muzo; Inmaculada Mora-Jiménez; Himar Fabelo; Inger Torhild Gram; Maja-Lisa Løchen; Conceição Granja; Cristina Soguero-Ruiz
Veröffentlicht in: Applied Science, Ausgabe Volume 13, Ausgabe 7, 2023, ISSN 2076-3417
Herausgeber: 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 (öffnet in neuem Fenster)

Autoren: David Chushig-Muzo, Hugo Calero-Díaz, Francisco J. Lara-Abelenda, Vanesa Gómez-Martínez, Conceição Granja, Cristina Soguero-Ruiz
Veröffentlicht in: IEEE Access, Ausgabe 12, 2024, Seite(n) 84292-84305, ISSN 2169-3536
Herausgeber: 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 (öffnet in neuem Fenster)

Autoren: 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
Veröffentlicht in: Journal of Medical Internet Research, Ausgabe v.25; 2023, 2023, ISSN 1438-8871
Herausgeber: 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 (öffnet in neuem Fenster)

Autoren: David Chushig-Muzo, Hugo Calero-Díaz, Himar Fabelo, Eirik Årsand, Peter Ruben van Dijk, Cristina Soguero-Ruiz
Veröffentlicht in: Applied Sciences, Ausgabe 14, 2025, Seite(n) 9870, ISSN 2076-3417
Herausgeber: MDPI AG
DOI: 10.3390/app14219870

Personalized glucose forecasting for people with type 1 diabetes using large language models (öffnet in neuem Fenster)

Autoren: Francisco J. Lara-Abelenda, David Chushig-Muzo, Pablo Peiro-Corbacho, Ana M. Wägner, Conceição Granja, Cristina Soguero-Ruiz
Veröffentlicht in: Computer Methods and Programs in Biomedicine, Ausgabe 265, 2025, Seite(n) 108737, ISSN 0169-2607
Herausgeber: 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 (öffnet in neuem Fenster)

Autoren: 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
Veröffentlicht in: Frontiers in Digital Health, Ausgabe 7, 2025, ISSN 2673-253X
Herausgeber: Frontiers Media SA
DOI: 10.3389/fdgth.2025.1534830

Interpretable and multimodal fusion methodology to predict severe hypoglycemia in adults with type 1 diabetes (öffnet in neuem Fenster)

Autoren: Francisco J. Lara-Abelenda, David Chushig-Muzo, Ana M. Wägner, Maryam Tayefi, Cristina Soguero-Ruiz
Veröffentlicht in: Engineering Applications of Artificial Intelligence, Ausgabe 144, 2025, Seite(n) 110142, ISSN 0952-1976
Herausgeber: Pergamon Press Ltd.
DOI: 10.1016/j.engappai.2025.110142

Evaluating Time Series Classification Models for Nocturnal Hypoglycemia: From Predictive Performance to Environmental Impact (öffnet in neuem Fenster)

Autoren: Francisco J. Lara-Abelenda, David Chushig-Muzo, Carmelo Betancort Acosta, Ana M. Wägner, Conceição Granja, Cristina Soguero-Ruiz
Veröffentlicht in: IEEE Access, Ausgabe 13, 2025, Seite(n) 150756-150771, ISSN 2169-3536
Herausgeber: 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 (öffnet in neuem Fenster)

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

Prediction of hypoglycaemia in subjects with type 1 diabetes during physical activity (öffnet in neuem Fenster)

Autoren: Ornella Moro, Giovanni Sebastiani
Veröffentlicht in: Open Health, Ausgabe 6, 2025, ISSN 2544-9826
Herausgeber: Walter de Gruyter GmbH
DOI: 10.1515/ohe-2025-0060

Using One App Only – Collecting a Comprehensive Set of Health-Related Data for Prevention of Chronic Conditions (öffnet in neuem Fenster)

Autoren: 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
Veröffentlicht in: Studies in Health Technology and Informatics, Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024
Herausgeber: IOS Press
DOI: 10.3233/shti240391

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

Autoren: Meghan Bradway, Henriette Lauvhaug Nybakke, Stine Agnete Ingebrigtsen and Kari Dyb
Veröffentlicht in: Proceedings of the 18th Scandinavian Conference on Health Informatics, Ausgabe August 2022, 2022, Seite(n) 195-203, ISBN 978-91-7929-344-4
Herausgeber: Linköping University Electronic Press
DOI: 10.3384/ecp187032

Evaluating the use of Hyperspectral Imaging as Complementary Blood Sample Tests (öffnet in neuem Fenster)

Autoren: Himar Fabelo, Raquel Leon, Samuel Ortega, Francisco Balea-Fernandez, Bernardino Clavo, Gustavo M. Callico, Ana Wagner
Veröffentlicht in: 2021 XXXVI Conference on Design of Circuits and Integrated Systems (DCIS), 2022, Seite(n) 1-6
Herausgeber: IEEE
DOI: 10.1109/dcis53048.2021.9666164

Hyperspectral VNIR and NIR Sensors for the Analysis of Human Normal Brain and Tumor Tissue (öffnet in neuem Fenster)

Autoren: Raquel Leon, Himar Fabelo, Samuel Ortega, Gustavo M. Callico
Veröffentlicht in: 2021 XXXVI Conference on Design of Circuits and Integrated Systems (DCIS), 2023, Seite(n) 1-6
Herausgeber: IEEE
DOI: 10.1109/dcis53048.2021.9666168

Normal Approximation of Random Gaussian Neural Networks (öffnet in neuem Fenster)

Autoren: Nicola Apollonio, Daniela De Canditiis, Giovanni Franzina, Paola Stolfi, Giovanni Luca Torrisi
Veröffentlicht in: Stochastic Systems, Ausgabe 15, 2025, Seite(n) 88-110, ISSN 1946-5238
Herausgeber: Institute for Operations Research and the Management Sciences (INFORMS)
DOI: 10.1287/stsy.2023.0033

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