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A Data-Driven Iterative Approach for Semi-automatically Assessing the Correctness of Medication Value Sets: A Proof of Concept Based on Opioids
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In: Methods Inf Med (2021)
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Developing an Automatic System for Classifying Chatter About Health Services on Twitter: Case Study for Medicaid
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In: J Med Internet Res (2021)
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Overview of the Fifth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2020
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In: COLING 2020, SMM4H 2020 workshop ; https://halshs.archives-ouvertes.fr/halshs-03109837 ; COLING 2020, SMM4H 2020 workshop, Dec 2020, Barcelona (Online), Spain ; https://www.aclweb.org/anthology/2020.smm4h-1.4/ (2020)
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LexExp: a system for automatically expanding concept lexicons for noisy biomedical texts
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In: Bioinformatics (2020)
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Self-reported COVID-19 symptoms on Twitter: an analysis and a research resource
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In: J Am Med Inform Assoc (2020)
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A Light-Weight Text Summarization System for Fast Access to Medical Evidence
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In: Front Digit Health (2020)
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Deep neural networks ensemble for detecting medication mentions in tweets
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An unsupervised and customizable misspelling generator for mining noisy health-related text sources ...
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Social Media Mining for Birth Defects Research: A Rule-Based, Bootstrapping Approach to Collecting Data for Rare Health-Related Events on Twitter
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A Customizable Pipeline for Social Media Text Normalization ...
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A Customizable Pipeline for Social Media Text Normalization ...
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Automated Extraction of Number of Subjects in Randomised Controlled Trials ...
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Query-oriented evidence extraction to support evidence-based medicine practice
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A Corpus for research in text processing for evidence based medicine
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Impact of citing papers for summarisation of clinical documents
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