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Disease associations depend on visit type: results from a visit-wide association study., , , , и . BioData Min., 12 (1): 15:1-15:10 (2019)ReportAGE: Automatically extracting the exact age of Twitter users based on self-reports in tweets., , и . CoRR, (2021)Towards Automatic Bot Detection in Twitter for Health-related Tasks., , , и . CoRR, (2019)Utilizing social media data for pharmacovigilance: A review., , , , , , , и . J. Biomed. Informatics, (2015)Session Introduction., , , , , , и . PSB, стр. 468-479. (2016)An unsupervised and customizable misspelling generator for mining noisy health-related text sources., и . J. Biomed. Informatics, (2018)Data and systems for medication-related text classification and concept normalization from Twitter: insights from the Social Media Mining for Health (SMM4H)-2017 shared task., , , , , , , , , и 6 other автор(ы). J. Am. Medical Informatics Assoc., 25 (10): 1274-1283 (2018)Dealing with Medication Non-Adherence Expressions in Twitter., , , , и . SMM4H@EMNLP, стр. 32-33. Association for Computational Linguistics, (2018)Overview of the Seventh Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2022., , , , , , , , , и 6 other автор(ы). SMM4H@COLING, стр. 221-241. Association for Computational Linguistics, (2022)Bi-directional Recurrent Neural Network Models for Geographic Location Extraction in Biomedical Literature., , , , и . PSB, стр. 100-111. (2019)