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Bleeding Event Detection in EHR Notes Using CNN Models Enhanced with RNN Autoencoders (Preprint)
BACKGROUND Bleeding events are common and critical which may cause significant morbidity and mortality. Studies show that high incidences of bleeding events are associated with cardiovascular disease (CVD) patients on anticoagulant therapy. Prompt and accurate detection of bleeding events are essential for preventing serious consequences. As bleeding events are often described in clinical notes, automatic detection of bleeding events from Electronic Health Record (EHR) narratives has thedoi:10.2196/preprints.10788 fatcat:33u4e6ftmfchfotf6ycrsjmw6a