A Question Answering Based Pipeline for Comprehensive Chinese EHR Information Extraction

arXiv:2402.11177v1 Announce Type: new
Abstract: Electronic health records (EHRs) hold significant value for research and applications. As a new way of information extraction, question answering (QA) can extract more flexible information than conventional methods and is more accessible to clinical researchers, but its progress is impeded by the scarcity of annotated data. In this paper, we propose a novel approach that automatically generates training data for transfer learning of QA models. Our pipeline incorporates a preprocessing module to handle challenges …

abstract applications arxiv chinese clinical cs.cl cs.ir ehr electronic electronic health records extract extraction health information information extraction pipeline progress question question answering records research researchers type value