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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 7 of 7 1 Using natural language processing to extract health-related causality from Twitter messages ... Doan, Son; Yang, Elly W; Tilak, Sameer. - : arXiv, 2019 BASE Show details 2 Extracting health-related causality from twitter messages using natural language processing Doan, Son; Yang, Elly W.; Tilak, Sameer S.; Li, Peter W.; Zisook, Daniel S.; Torii, Manabu. - : BioMed Central, 2019 Abstract: BACKGROUND: Twitter messages (tweets) contain various types of topics in our daily life, which include health-related topics. Analysis of health-related tweets would help us understand health conditions and concerns encountered in our daily lives. In this paper we evaluate an approach to extracting causalities from tweets using natural language processing (NLP) techniques. METHODS: Lexico-syntactic patterns based on dependency parser outputs are used for causality extraction. We focused on three health-related topics: “stress”, “insomnia”, and “headache.” A large dataset consisting of 24 million tweets are used. RESULTS: The results show the proposed approach achieved an average precision between 74.59 to 92.27% in comparisons with human annotations. CONCLUSIONS: Manual analysis on extracted causalities in tweets reveals interesting findings about expressions on health-related topic posted by Twitter users. Keyword: Research URL: https://doi.org/10.1186/s12911-019-0785-0 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6448183/ http://www.ncbi.nlm.nih.gov/pubmed/30943954 BASE Hide details 3 A Preliminary Study of Clinical Concept Detection Using Syntactic Relations Torii, Manabu; Yang, Elly W.; Doan, Son. - : American Medical Informatics Association, 2018 BASE Show details 4 Applying Semantic-based Probabilistic Context-Free Grammar to Medical Language Processing – A Preliminary Study on Parsing Medication Sentences Xu, Hua; AbdelRahman, Samir; Lu, Yanxin. - 2011 BASE Show details 5 Recognizing Medication related Entities in Hospital Discharge Summaries using Support Vector Machine Doan, Son; Xu, Hua. - 2010 BASE Show details 6 BioCaster: detecting public health rumors with a Web-based text mining system Collier, Nigel; Doan, Son; Kawazoe, Ai. - : Oxford University Press, 2008 BASE Show details 7 BioCaster: detecting public health rumors with a Web-based text mining system Collier, Nigel; Doan, Son; Kawazoe, Ai. - : Oxford University Press, 2008 BASE Show details

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