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Comparing natural language processing representations of disease sequences for prediction in the electronic healthcare record

2023-11-16

Abstract excerpt

Natural language processing (NLP) is increasingly being applied to obtain unsupervised representations of electronic healthcare record (EHR) data, but their performance for the prediction of clinical endpoints remains unclear. Here we use primary care EHRs from 6,286,233 people with Multiple Long-Term Conditions in England to generate vector representations of sequences of disease development using two input strat...

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Literature Corpus work
9842fd27-aec0-5b81-8612-35667e8cba0c
DOI
10.1101/2023.11.16.23298640
Open publication

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Comparing natural language processing representations of disease sequences for prediction in the electronic healthcare recordDOI 10.1101/2023.11.16.23298640
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