This pipeline can be used to Mask or Obfuscate Personal Health Information (PHI) in French clinical notes.
~$12,000/yr est.
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Offering: A comprehensive suite of NLP-based clinical entity recognition models and structured healthcare datasets for pharmacovigilance, clinical research, and population health analytics.
Best for: Healthcare data scientists and clinical researchers building automated pipelines for medical record de-identification and drug safety monitoring.
Get an instant price estimate based on your organization profile — seats, usage rights, and contract term.Estimated ~$12,000/yr est.
Request a sample directly from John Snow Labs.
De-Identification of French Unstructured Clinical Notes for ...
by Y Tchouka · 2022 · Cited by 10 — In this paper, we propose a new comprehensive de-identification method dedicated to French-language medical documents.
De-Identification of French Unstructured Clinical Notes for ...
In this paper, we propose a new comprehensive de-identification method dedicated to French-language medical documents. Both the approach for the detection of ...
Improving Transformer Performance for French Clinical ...
This study presents a customized Mixture of Expert (MoE) Transformer models for classifying small-scale French clinical texts at CHU Sainte-Justine Hospital.
Expected fields and columns in this data product
Clinical De-identification for French is an alternative data product offered by John Snow Labs, available on databricks_marketplace. API access is available for programmatic integration. Vedex estimates pricing at roughly $12,000/yr (an estimate, not a vendor-published price).
This pipeline can be used to Mask or Obfuscate Personal Health Information (PHI) in French clinical notes.
John Snow Labs is a data provider vendor based in Wilmington, Delaware, USA. The model is a powerful tool for extracting SDoH entities from clinical text. It was specifically trained to identify the conditions in which people are born, grow, live, work, and age that impacts th...