Text-based phenotyping with Semantic Deep Learning: setting up experiments for women's health - researchr publication authors

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Mercedes Argüello Casteleiro, Niamh Joyce, Nava Maroto, Maria Jesus Fernandez Prieto, Timothy Furmston, Diego Maseda-Fernandez, Phillip Lord, Chris Wroe, John A. Keane, Ying Cheong, Robert Stevens 0001. Text-based phenotyping with Semantic Deep Learning: setting up experiments for women's health. In Atsuko Yamaguchi, Andrea Splendiani, M. Scott Marshall, Chris Baker, Jerven T. Bolleman, Albert Burger, Leyla Jael Castro, Ole Eigenbrod, Sabine Österle, Martin Romacker, Andra Waagmeester, editors, 14th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences (SWAT4HCLS 2023), Basel, Switzerland, February 13-16, 2023. Volume 3415 of CEUR Workshop Proceedings, pages 161-162, CEUR-WS.org, 2023. [doi]

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