Bidirectional RNN for Medical Event Detection in Electronic Health Records Bidirectional RNN for Medical Event Detection in Electronic Health Records
Paper summary The authors have a dataset of 780 electronic health records and they use it to detect various medical events such as adverse drug events, drug dosage, etc. The task is done by assigning a label to each word in the document. https://i.imgur.com/bZ7yM0z.png Annotation statistics for the corpus of health records. They look at CRFs, LSTMs and GRUs. Both LSTMs and GRUs outperform the CRF, but the best performance is achieved by a GRU trained on whole documents.
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Bidirectional RNN for Medical Event Detection in Electronic Health Records
Jagannatha, Abhyuday N. and Yu, Hong
The Association for Computational Linguistics HLT-NAACL - 2016 via Local Bibsonomy
Keywords: dblp


Summary by Marek Rei 3 weeks ago
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