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An interpretable natural language processing system for written medical examination assessment., , , , and . J. Biomed. Informatics, (2019)Detecting Personal Medication Intake in Twitter: An Annotated Corpus and Baseline Classification System., , , , and . BioNLP, page 136-142. Association for Computational Linguistics, (2017)Eliminative induction: a basis for arguing system confidence., , and . ICSE, page 1161-1164. IEEE Computer Society, (2013)A Rule-based Approach to Determining Pregnancy Timeframe from Contextual Social Media Postings., , , , and . DH, page 16-20. ACM, (2018)Overview of the Fifth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2020., , , , , , , , , and 1 other author(s). SMM4H@COLING, page 27-36. Association for Computational Linguistics, (2020)Automatically Detecting Self-Reported Birth Defect Outcomes on Twitter for Large-scale Epidemiological Research., , , and . CoRR, (2018)Deep Neural Networks Ensemble for Detecting Medication Mentions in Tweets., , , , , and . CoRR, (2019)Social media mining for birth defects research: A rule-based, bootstrapping approach to collecting data for rare health-related events on Twitter., , , , and . J. Biomed. Informatics, (2018)Active neural networks to detect mentions of changes to medication treatment in social media., , , , , , and . J. Am. Medical Informatics Assoc., 28 (12): 2551-2561 (2021)Towards Automatic Bot Detection in Twitter for Health-related Tasks., , , and . CoRR, (2019)