Bidirectional RNN for Medical Event Detection in Electronic Health Records on ShortScience.org

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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

Summaries/Notes 2

[link] Summary by Marek Rei 1 year ago

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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[link] Summary by Joseph Paul Cohen 1 year ago

The basic approach is an RNN applied to text to predict a medical event such as an ICD code. It is unclear if the complicated Bi-RNN model is required. 

This has some useful applications such as 
- Adapt old databases
- Correct errors
- Upgrade ICD versions

A simple diagram of an RNN applied to medical next is shown below:


https://i.imgur.com/NPExLqH.png

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