Machine learning–based validation of Human Phenotype Ontology (HPO) terms for systemic autoinflammatory diseases using the Eurofever Registry: the ODINO project
- DOI
- 10.3389/fimmu.2026.1936099
- Published
- 2026-10-12
- Container
- Frontiers in Immunology
- Publisher
- Frontiers Media SA
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3389/fimmu.2026.1936099,
title = {Machine learning–based validation of Human Phenotype Ontology (HPO) terms for systemic autoinflammatory diseases using the Eurofever Registry: the ODINO project},
author = {Caterina Matucci-Cerinic and Giacomo Cavalca and Matteo Vergani and Roberta Caorsi and Marielle van Gjin and Guilaine Boursier and Eugenia Mosci and Giovanni Fiorito and Paolo Uva and Marco Gattorno},
year = {2026},
journal = {Frontiers in Immunology},
doi = {10.3389/fimmu.2026.1936099},
url = {https://doi.org/10.3389/fimmu.2026.1936099}
}RIS
TY - JOUR TI - Machine learning–based validation of Human Phenotype Ontology (HPO) terms for systemic autoinflammatory diseases using the Eurofever Registry: the ODINO project AU - Caterina Matucci-Cerinic AU - Giacomo Cavalca AU - Matteo Vergani AU - Roberta Caorsi AU - Marielle van Gjin AU - Guilaine Boursier AU - Eugenia Mosci AU - Giovanni Fiorito AU - Paolo Uva AU - Marco Gattorno PY - 2026 JO - Frontiers in Immunology DO - 10.3389/fimmu.2026.1936099 UR - https://doi.org/10.3389/fimmu.2026.1936099 ER -
APA
Matucci-Cerinic, C., Cavalca, G., Vergani, M., Caorsi, R., Gjin, M. V., Boursier, G., Mosci, E., Fiorito, G., Uva, P., & Gattorno, M. (2026). Machine learning–based validation of Human Phenotype Ontology (HPO) terms for systemic autoinflammatory diseases using the Eurofever Registry: the ODINO project. Frontiers in Immunology. https://doi.org/10.3389/fimmu.2026.1936099
Source records
- crossref · retrieved 2026-11-04T14:03:55.135Z