Multimodal identification of a rare head and neck cancer patient cohort in the clinical data warehouse of Greater Paris Teaching Hospital

Multimodal identification of a rare head and neck cancer patient cohort in the clinical data warehouse of Greater Paris Teaching Hospital

Background: Ten percent of head and neck cancers (HNCs) differ from the common upper aerodigestive tract squamous-cell carcinoma. These rare HNCs can be rare because of their histology or anatomical location. The federation of clinical data warehouses (CDWs) holds potential for advancing our underst...

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Bibliographic Details
Main Authors: A. La Rosa, M. Verdoux, P. Riebler, I. Lolli, C. Daniel, X. Tannier, S. Atallah, B. Baujat, E. Kempf
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:ESMO Real World Data and Digital Oncology
Subjects:
head and neck cancer
rare cancer
natural language processing
clinical data warehouse
Online Access:http://www.sciencedirect.com/science/article/pii/S2949820125000402
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