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Accelerating hybrid ANN–ODE frameworks using surrogate machine learning and metaheuristic optimization for predicting recurrent venous thromboembolism

Crossref DOI link: https://doi.org/10.1007/s00521-026-12047-6

Published Online: 2026-04-13

Published Print: 2026-04

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Al Bannoud, Mohamad https://orcid.org/0000-0003-2491-7297
Martins, Tiago Dias

de Lima Montalvão, Silmara Aparecida

Annichino-Bizzacchi, Joyce Maria

Filho, Rubens Maciel

Maciel, Maria Regina Wolf
Funding

Funding for this research was provided by:

Universidade Estadual De Campinas
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Text and Data Mining valid from 2026-04-01

Version of Record valid from 2026-04-13
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Article History

Received: 12 October 2025

Accepted: 25 February 2026

First Online: 13 April 2026

Declarations

:

: The authors have no competing interests to declare that are relevant to the content of this article.

: Ethical approval of the patient data used in this work was obtained and approved by the Comitê de Ética da Universidade Federal de Campinas (Approval number: 88970218.0.0000.5404).

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