Line of work
Natural Language Processing for Clinical Phenotyping
This line of work develops rule-based and transformer-based NLP models to extract critical clinical data from unstructured notes. Applications include the extraction of cancer staging, PD-L1 expression, and VTE events.
Anchor result
The VTE-BERT model achieved a precision of 95% and recall of 91% in external validation for detecting incident VTE events.
Related publications
2026
2026
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2023