Using word embeddings to expand terminology of dietary supplements on clinical notes.

ABSTRACT:

Objective

The objective of this study is to demonstrate the feasibility of applying word embeddings to expand the terminology of dietary supplements (DS) using over 26 million clinical notes.

Methods

Word embedding models (ie, word2vec and GloVe) trained on clinical notes were used to predefine a list of top 40 semantically related terms for each of 14 commonly used DS. Each list was further evaluated by experts to generate semantically similar terms. We investigated the effect of corpus size and other settings (ie, vector size and window size) as well as the 2 word embedding models on performance for DS term expansion. We compared the number of clinical notes (and patients they represent) that were retrieved using the word embedding expanded terms to both the baseline terms

SUBMITTER: Fan Y 

PROVIDER: S-EPMC6904105 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature