Collaborative and privacy-enhancing workflows on a clinical data warehouse: an example developing natural language processing pipelines to detect medical conditions.
To develop and validate a natural language processing (NLP) pipeline that detects 18 conditions in French clinical notes, including 16 comorbidities of the Charlson index, while exploring a collaborative and privacy-enhancing workflow.
Author(s): Petit-Jean, Thomas, Gérardin, Christel, Berthelot, Emmanuelle, Chatellier, Gilles, Frank, Marie, Tannier, Xavier, Kempf, Emmanuelle, Bey, Romain
DOI: 10.1093/jamia/ocae069