🎙️ Podcast Highlights
Introduction: An in-depth exploration of the challenges and solutions in de-identifying hospital records.
De-identification Approaches: Discussing various strategies used in the anonymization of hospital data.
NER Episode Card: Insight into Named Entity Recognition (NER) and its applications in this context.
Over-Redaction Issues: The problems associated with excessive anonymization and data loss.
Building High Recall Models: Sharing experiences in creating models with over 99% recall.
The Art of Annotations: Strategies for developing high-performing models through effective annotation.
Dev and Docs Annotation Method: Exploring the annotation methodology proposed by Zeljko et al.
Performance in New Environments: Ensuring model efficacy in different hospitals or healthcare settings.
Looking to the Future: Anticipating future developments and challenges in this field.
Synthetic Data: The role and potential of synthetic data in improving and testing de-identification methods.
Thank you for listening,