Streamlining social media information retrieval for public health research with deep learning.
Social media-based public health research is crucial for epidemic surveillance, but most studies identify relevant corpora with keyword-matching. This study develops a system to streamline the process of curating colloquial medical dictionaries. We demonstrate the pipeline by curating a Unified Medical Language System (UMLS)-colloquial symptom dictionary from COVID-19-related tweets as proof of concept.
Author(s): Hua, Yining, Wu, Jiageng, Lin, Shixu, Li, Minghui, Zhang, Yujie, Foer, Dinah, Wang, Siwen, Zhou, Peilin, Yang, Jie, Zhou, Li
DOI: 10.1093/jamia/ocae118