Comparison of 7 artificial intelligence models in predicting venous thromboembolism in COVID-19 patients

Comparison of 7 artificial intelligence models in predicting venous thromboembolism in COVID-19 patients

Background: An artificial intelligence (AI) approach can be used to predict venous thromboembolism (VTE). Objectives: To compare different AI models in predicting VTE using data from patients with COVID-19. Methods: We used feature ranking through recursive feature elimination with AI algorithms (lo...

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Bibliographic Details
Main Authors: Indika Rajakaruna, Mohammad Hossein Amirhosseini, Mike Makris, Mike Laffan, Yang Li, Deepa J. Arachchillage
Format: Article
Language:English
Published: Elsevier 2025-02-01
Series:Research and Practice in Thrombosis and Haemostasis
Subjects:
artificial intelligence
COVID-19
deep learning
machine learning
thrombosis
Online Access:http://www.sciencedirect.com/science/article/pii/S2475037925000354
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