An open source, high-performance information extraction NER model for LDCT reports.

Description: This model is an open-source Bi-LSTM NER model which can efficiently extract clinically relevant information from lung cancer screening CT reports with high accuracy, enabling efficient audit and feedback to improve quality of patient care. Article under review, will update the DOI once it was accepted
Authors: Yucheng Zhang, Benjamin M. M. Grant, Andrew J. Hope, Rayjean J. Hung, Matthew T. Warkentin, Andrew CL Lam, Reenika Aggawal, Maria Xu, Frances A. Shepherd, Ming-Sound Tsao, Wei Xu, Mini Pakkal, Geoffrey Liu, Micheal C. McInnis
Lab: Xu
Keywords: NER, LDCT, information extraction
Licensing: Apache 2.0


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