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A machine learning approach towards endometriosis screening using infrared spectra of urine

Crossref DOI link: https://doi.org/10.1016/j.clinsp.2025.100760

Published Print: 2025-01

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Martins, Matthews Silva https://orcid.org/0000-0002-0050-4490
Valente, Gabriela Barros https://orcid.org/0009-0007-1175-9214
Pedra, Yasmin do Nascimento https://orcid.org/0009-0001-9840-0883
Ribeiro, Thaís Campos https://orcid.org/0009-0001-7626-2475
Boldrini, Neide Aparecida Tosato https://orcid.org/0000-0003-1140-5057
Barcelos, Mara Rejane Barroso https://orcid.org/0000-0001-7288-9468
Martin, Francis L. https://orcid.org/0000-0001-8562-4944
Rossi, Karin Kneipp Costa https://orcid.org/0009-0003-3880-4119
Barauna, Valerio Garrone https://orcid.org/0000-0003-2832-0922
Funding

Funding for this research was provided by:

CNPq

Instituto Nacional de Ciência e Tecnologia em Toxinas

FAPES (014/2022)
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Text and Data Mining valid from 2025-01-01

Text and Data Mining valid from 2025-01-01

Version of Record valid from 2025-08-20
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This article is maintained by: Elsevier

Article Title: A machine learning approach towards endometriosis screening using infrared spectra of urine

Journal Title: Clinics

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.clinsp.2025.100760

Content Type: article

Copyright: © 2025 HCFMUSP. Published by Elsevier España, S.L.U.