Development and validation of interpretable machine learning models to detect unconfirmed hepatitis C using electronic health records (LiverTAI)
- DOI
- 10.1016/j.gastrohep.2026.502774
- Published
- 2026-05
- Container
- Gastroenterología y Hepatología
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.gastrohep.2026.502774,
title = {Development and validation of interpretable machine learning models to detect unconfirmed hepatitis C using electronic health records (LiverTAI)},
author = {Gloria Sánchez-Antolín and Gema de la Poza and Lorena Hidalgo and María Victoria Aguilera and Berta Cuyàs and Francisco Ledesma and Eva Sanz and Víctor Fanjul and Clara L. Oeste and José Luis Calleja Panero},
year = {2026},
journal = {Gastroenterología y Hepatología},
doi = {10.1016/j.gastrohep.2026.502774},
url = {https://doi.org/10.1016/j.gastrohep.2026.502774}
}RIS
TY - JOUR TI - Development and validation of interpretable machine learning models to detect unconfirmed hepatitis C using electronic health records (LiverTAI) AU - Gloria Sánchez-Antolín AU - Gema de la Poza AU - Lorena Hidalgo AU - María Victoria Aguilera AU - Berta Cuyàs AU - Francisco Ledesma AU - Eva Sanz AU - Víctor Fanjul AU - Clara L. Oeste AU - José Luis Calleja Panero PY - 2026 JO - Gastroenterología y Hepatología DO - 10.1016/j.gastrohep.2026.502774 UR - https://doi.org/10.1016/j.gastrohep.2026.502774 ER -
APA
Sánchez-Antolín, G., Poza, G. D. L., Hidalgo, L., Aguilera, M. V., Cuyàs, B., Ledesma, F., Sanz, E., Fanjul, V., Oeste, C. L., & Panero, J. L. C. (2026). Development and validation of interpretable machine learning models to detect unconfirmed hepatitis C using electronic health records (LiverTAI). Gastroenterología y Hepatología. https://doi.org/10.1016/j.gastrohep.2026.502774
Source records
- crossref · retrieved 2026-09-26T09:46:16.093Z