Deep neural networks ensemble for detecting medication mentions in tweets.

ABSTRACT:

Objective

Twitter posts are now recognized as an important source of patient-generated data, providing unique insights into population health. A fundamental step toward incorporating Twitter data in pharmacoepidemiologic research is to automatically recognize medication mentions in tweets. Given that lexical searches for medication names suffer from low recall due to misspellings or ambiguity with common words, we propose a more advanced method to recognize them.

Materials and methods

We present Kusuri, an Ensemble Learning classifier able to identify tweets mentioning drug products and dietary supplements. Kusuri (, "medication" in Japanese) is composed of 2 modules: first, 4 different classifiers (lexicon based, spelling variant based, pattern based, and a weakly trained n

SUBMITTER: Weissenbacher D 

PROVIDER: S-EPMC6857507 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature