TY - GEN
T1 - SmartCHANGE
T2 - 3rd International Conference on Applied Mathematics and Computer Science, ICAMCS 2023
AU - Rescic, Nina
AU - Alberts, Janna
AU - Altenburg, Teatske M.
AU - Chinapaw, Mai J. M.
AU - de Nigro, Antonio
AU - Fenoglio, Dario
AU - Gjoreski, Martin
AU - Gradisek, Anton
AU - Jurak, Gregor
AU - Kiourtis, Athanasios
AU - Kyriazis, Dimosthenis
AU - Langheinrich, Marc
AU - Mancuso, Elena
AU - Mavrogiorgou, Argyro
AU - Pechenizkiy, Mykola
AU - Pratola, Roberto
AU - Ribeiro, Jose
AU - Soric, Maroje
AU - Taj, Fawad
AU - Tammelin, Tuija H.
AU - Vastenburg, Martijn
AU - Vilanova, Anna
AU - Vrijkotte, Tanja G. M.
AU - Lustrek, Mitja
N1 - Publisher Copyright: © 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The SmartCHANGE project, a Horizon-Europe Research & Innovation project that has been ongoing since May 2023 and is scheduled to conclude in April 2027, aims to develop AI-driven decision-support tools to identify and reduce the long-term risk of non-communicable chronic diseases (NCDs) in children and youth. NCDs have become a significant public health burden in developed countries, with common risk factors including obesity, low physical fitness, and unhealthy lifestyle habits. Childhood and adolescence are critical periods for establishing healthy habits, and early intervention can prevent or delay the onset of NCDs later in life. However, current tools for identifying high-risk individuals mainly focus on adults, leading to missed opportunities for early detection. The SmartCHANGE project aims to address this gap by creating trustworthy AI tools that accurately assess risk factors in children and youth and promote optimised strategies for risk reduction. The paper outlines the plan for the project from the project's proposed methodologies, including dataset utilisation, data cleaning, risk prediction models (basic and complex), and the implementation of federated learning. Additionally, it discusses user experience aspects such as participatory design, suggested applications, and the evaluation of project outcomes.
AB - The SmartCHANGE project, a Horizon-Europe Research & Innovation project that has been ongoing since May 2023 and is scheduled to conclude in April 2027, aims to develop AI-driven decision-support tools to identify and reduce the long-term risk of non-communicable chronic diseases (NCDs) in children and youth. NCDs have become a significant public health burden in developed countries, with common risk factors including obesity, low physical fitness, and unhealthy lifestyle habits. Childhood and adolescence are critical periods for establishing healthy habits, and early intervention can prevent or delay the onset of NCDs later in life. However, current tools for identifying high-risk individuals mainly focus on adults, leading to missed opportunities for early detection. The SmartCHANGE project aims to address this gap by creating trustworthy AI tools that accurately assess risk factors in children and youth and promote optimised strategies for risk reduction. The paper outlines the plan for the project from the project's proposed methodologies, including dataset utilisation, data cleaning, risk prediction models (basic and complex), and the implementation of federated learning. Additionally, it discusses user experience aspects such as participatory design, suggested applications, and the evaluation of project outcomes.
KW - SmartCHANGE
KW - decision-support tools
KW - non-communicable chronic diseases
KW - risk prediction
KW - trustworthy AI
UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85186770078&origin=inward
UR - http://www.scopus.com/inward/record.url?scp=85186770078&partnerID=8YFLogxK
U2 - 10.1109/ICAMCS59110.2023.00020
DO - 10.1109/ICAMCS59110.2023.00020
M3 - Conference contribution
T3 - Proceedings - 2023 International Conference on Applied Mathematics and Computer Science, ICAMCS 2023
SP - 81
EP - 89
BT - Proceedings - 2023 International Conference on Applied Mathematics and Computer Science, ICAMCS 2023
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 8 August 2023 through 10 August 2023
ER -