A Swarm-Based Clinical Validation Framework of Artificial Intelligence Solutions for Non-Communicable Diseases

by Kitty Kioskli 1,2 * , Spyridon Papastergiou 3,4, Theofanis Fotis 5

1 University of Essex, School of Computer Science and Electronic Engineering, Institute of Analytics and Data Science (IADS), Essex, United Kingdom
2 trustilio B.V., Amsterdam, Netherlands
3 University of Piraeus, Department of Informatics, Piraeus, Greece
4 Security Labs Consulting Limited, Cork, Ireland
5 University of Brighton, School of Sport & Health Sciences, Centre for Secure, Intelligent and Usable Systems (CSIUS), Brighton, United Kingdom

* Author to whom correspondence should be addressed.

Journal of Engineering Research and Sciences, Volume 2, Issue 9, Page # 1-11, 2023; DOI: 10.55708/js0209001

Keywords: Swarm Intelligence, Clinical Validation, Framework, Non-Communicable Diseases, Diagnostic Accuracy, Personalized Treatment

Received: 28 January 2023, Accepted: 28 August 2023, Published Online: 26 September 2023

APA Style

Kioskli, K., Fotis, T., & Papastergiou, S. (2023). A Swarm-Based Clinical Validation Framework of Artificial Intelligence Solutions for Non-Communicable Diseases. Journal of Engineering Research and Sciences, 2(9), 1–11. https://doi.org/10.55708/js0209001

 

Chicago/Turabian Style

Kioskli, Kitty, Theofanis Fotis, and Spyridon Papastergiou. 2023. “A Swarm-Based Clinical Validation Framework of Artificial Intelligence Solutions for Non-Communicable Diseases.” Journal of Engineering Research and Sciences 2 (9): 1–11. doi:10.55708/js0209001.

IEEE Style

[1] K. Kioskli, T. Fotis, and S. Papastergiou, “A Swarm-Based Clinical Validation Framework of Artificial Intelligence Solutions for Non-Communicable Diseases,” Journal of Engineering Research and Sciences, vol. 2, no. 9, pp. 1–11, 2023. doi:10.55708/js0209001

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