Smart City Gnosys

Smart city article details

Title Improvement Of An Edge-Iot Architecture Driven By Artificial Intelligence For Smart-Health Chronic Disease Management
ID_Doc 30778
Authors Cruz Castañeda W.A.; Bertemes Filho P.
Year 2024
Published Sensors, 24, 24
DOI http://dx.doi.org/10.3390/s24247965
Abstract One of the health challenges in the 21st century is to rethink approaches to non-communicable disease prevention. A solution is a smart city that implements technology to make health smarter, enables healthcare access, and contributes to all residents’ overall well-being. Thus, this paper proposes an architecture to deliver smart health. The architecture is anchored in the Internet of Things and edge computing, and it is driven by artificial intelligence to establish three foundational layers in smart care. Experimental results in a case study on glucose prediction noninvasively show that the architecture senses and acquires data that capture relevant characteristics. The study also establishes a baseline of twelve regression algorithms to assess the non-invasive glucose prediction performance regarding the mean squared error, root mean squared error, and r-squared score, and the catboost regressor outperforms the other models with 218.91 and 782.30 in MSE, 14.80 and 27.97 in RMSE, and 0.81 and 0.31 in (Formula presented.), respectively, on training and test sets. Future research works involve extending the performance of the algorithms with new datasets, creating and optimizing embedded AI models, deploying edge-IoT with embedded AI for wearable devices, implementing an autonomous AI cloud engine, and implementing federated learning to deliver scalable smart health in a smart city context. © 2024 by the authors.
Author Keywords artificial intelligence; chronic disease management; edge computing; smart city application; smart health


Similar Articles

Id Similarity Authors Title Published
21728 View0.892Hanifa M.S.M.; Alnaamani K.S.H.; Natarajan G.; Elango E.Edge Ai For Connected Healthcare In Internet Of Medical Things For Smart CitiesEdge AI for Industry 5.0 and Healthcare 5.0 Applications (2025)
3329 View0.889Tripathy S.S.; Imoize A.L.; Rath M.; Tripathy N.; Bebortta S.; Lee C.-C.; Chen T.-Y.; Ojo S.; Isabona J.; Pani S.K.A Novel Edge-Computing-Based Framework For An Intelligent Smart Healthcare System In Smart CitiesSustainability (Switzerland), 15, 1 (2023)
8311 View0.876Ray S.S.; Tripathy N.; Tripathy S.S.; Gheisari M.An In-Depth Analysis Of Machine Learning And Artificial Intelligence Advancements In Healthcare For Smart CitiesHealthcare-Driven Intelligent Computing Paradigms to Secure Futuristic Smart Cities (2024)
21753 View0.873Choudhury A.; Sarma K.K.; Misra D.D.; Guha K.; Iannacci J.Edge Computing For Smart-City Human Habitat: A Pandemic-Resilient, Ai-Powered FrameworkJournal of Sensor and Actuator Networks, 13, 6 (2024)
28844 View0.872Liu Y.-Y.; Zhang Y.; Wu Y.; Feng M.Healthcare And Fitness Services: A Comprehensive Assessment Of Blockchain, Iot, And Edge Computing In Smart CitiesJournal of Grid Computing, 21, 4 (2023)
39157 View0.871Kamruzzaman M.M.New Opportunities, Challenges, And Applications Of Edge-Ai For Connected Healthcare In Smart Cities2021 IEEE Globecom Workshops, GC Wkshps 2021 - Proceedings (2021)
33584 View0.871Alshamrani M.Iot And Artificial Intelligence Implementations For Remote Healthcare Monitoring Systems: A SurveyJournal of King Saud University - Computer and Information Sciences, 34, 8 (2022)
51669 View0.867Gong Z.; Ji J.; Tong P.; Metwally A.S.M.; Dutta A.K.; Rodrigues J.J.P.C.; Mohamad U.H.Smart Urban Planning: Intelligent Cognitive Analysis Of Healthcare Data In Cloud-Based IotComputers and Electrical Engineering, 110 (2023)
3008 View0.867Babar M.; Qureshi B.A New Distributed Approach To Leveraging Ai For Sustainable Healthcare In Smart CitiesLecture Notes in Civil Engineering, 558 LNCE (2025)
35140 View0.867Tran T.A.; Onyema E.M.; Abougreen A.N.Leveraging The Potential Of Artificial Intelligence In The Real World: Smart Cities And HealthcareLeveraging the Potential of Artificial Intelligence in the Real World: Smart Cities and Healthcare (2024)