External validation of a data-driven algorithm to identify breast cancer recurrences from administrative healthcare data
This validation study demonstrates that identifying breast cancer recurrences from administrative healthcare data is feasible and sufficiently reliable.
Authors
- orietta giuliani
- Falcini Fabio
- Luigino Dal Maso
- Rosa Vattiato
- Flavia Baldacchini
- Alessandra Ravaioli
- Fabiola Giudici
- Federica Toffolutti
- Lauro Bucchi
- Annibale Biggeri
- Silvia Mancini
Institutions
- University of Padua (IT)
- Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IT)
- Centro di Riferimento Oncologico (IT)
- Istituti di Ricovero e Cura a Carattere Scientifico (IT)
Publication Details
- Journal
- The Breast
- Published
- 2026-03-05
- DOI
- https://doi.org/10.1016/j.breast.2026.104747
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Ministero della Salute
- Associazione Italiana per la Ricerca sul Cancro