J, B., E, G., B, T., J, S., R, S., L, S., . . . F, B. (2026). Integration and Harmonization of Multi-Source Obstetric Data Using Rule-Based NLP for Fetomaternal Risk Modelling. Studies in health technology and informatics, 336, 1575. https://doi.org/10.3233/SHTI260478
Chicago Style (17th ed.) CitationJ, Barrenetxea, et al. "Integration and Harmonization of Multi-Source Obstetric Data Using Rule-Based NLP for Fetomaternal Risk Modelling." Studies in Health Technology and Informatics 336 (2026): 1575. https://doi.org/10.3233/SHTI260478.
MLA (9th ed.) CitationJ, Barrenetxea, et al. "Integration and Harmonization of Multi-Source Obstetric Data Using Rule-Based NLP for Fetomaternal Risk Modelling." Studies in Health Technology and Informatics, vol. 336, 2026, p. 1575, https://doi.org/10.3233/SHTI260478.