Comparison of 7 Artificial Intelligence models in Predicting Venous Thromboembolism in COVID-19 Patients
Article
Rajakaruna, I., Amirhosseini, M., Makris, M., Laffan, M., Li, Y. and Arachchillage, D. J. 2025. Comparison of 7 Artificial Intelligence models in Predicting Venous Thromboembolism in COVID-19 Patients. Research and Practice in Thrombosis and Haemostasis. 9 (2), p. Art. 102711. https://doi.org/10.1016/j.rpth.2025.102711
Authors | Rajakaruna, I., Amirhosseini, M., Makris, M., Laffan, M., Li, Y. and Arachchillage, D. J. |
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Abstract | Introduction: Aim: Methods: Results: Conclusion: |
Keywords | COVID-19; Thrombosis; Artificial Intelligence; Machine Learning; Deep Learning |
Journal | Research and Practice in Thrombosis and Haemostasis |
Journal citation | 9 (2), p. Art. 102711 |
ISSN | 2475-0379 |
Year | 2025 |
Publisher | Elsevier for International Society on Thrombosis and Haemostasis |
Publisher's version | License |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.rpth.2025.102711 |
Publication dates | |
Online | 27 Feb 2025 |
Publication process dates | |
Submitted | 16 Oct 2024 |
Accepted | 14 Feb 2025 |
Deposited | 13 Mar 2025 |
Funder | UK Medical Research Council (MRC) and Scottish Government Chief Scientist Office (CSO) |
Copyright holder | Crown Copyright © 2025 |
https://repository.uel.ac.uk/item/8z294
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