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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 – 10 of 10 1 One model for the learning of language. Yang, Yuan; Piantadosi, Steven T In: Proceedings of the National Academy of Sciences of the United States of America, vol 119, iss 5 (2022) BASE Show details 2 One model for the learning of language Yang, Yuan; Piantadosi, Steven T. In: Proc Natl Acad Sci U S A (2022) BASE Show details 3 Developing an Automatic System for Classifying Chatter About Health Services on Twitter: Case Study for Medicaid Yang, Yuan-Chi; Al-Garadi, Mohammed Ali; Bremer, Whitney... In: J Med Internet Res (2021) BASE Show details 4 Self-reported COVID-19 symptoms on Twitter: an analysis and a research resource Sarker, Abeed; Lakamana, Sahithi; Hogg-Bremer, Whitney; Xie, Angel; Al-Garadi, Mohammed Ali; Yang, Yuan-Chi In: J Am Med Inform Assoc (2020) Abstract: OBJECTIVE: To mine Twitter and quantitatively analyze COVID-19 symptoms self-reported by users, compare symptom distributions across studies, and create a symptom lexicon for future research. MATERIALS AND METHODS: We retrieved tweets using COVID-19-related keywords, and performed semiautomatic filtering to curate self-reports of positive-tested users. We extracted COVID-19-related symptoms mentioned by the users, mapped them to standard concept IDs in the Unified Medical Language System, and compared the distributions to those reported in early studies from clinical settings. RESULTS: We identified 203 positive-tested users who reported 1002 symptoms using 668 unique expressions. The most frequently-reported symptoms were fever/pyrexia (66.1%), cough (57.9%), body ache/pain (42.7%), fatigue (42.1%), headache (37.4%), and dyspnea (36.3%) amongst users who reported at least 1 symptom. Mild symptoms, such as anosmia (28.7%) and ageusia (28.1%), were frequently reported on Twitter, but not in clinical studies. CONCLUSION: The spectrum of COVID-19 symptoms identified from Twitter may complement those identified in clinical settings. Keyword: Brief Communications URL: https://doi.org/10.1093/jamia/ocaa116 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7337747/ http://www.ncbi.nlm.nih.gov/pubmed/32620975 BASE Hide details 5 A Light-Weight Text Summarization System for Fast Access to Medical Evidence Sarker, Abeed; Yang, Yuan-Chi; Al-Garadi, Mohammed Ali... In: Front Digit Health (2020) BASE Show details 6 Entwicklung interkultureller Handlungskompetenz : ein didaktisches Konzept für den Wirtschaftsdeutschunterricht in China am Beispiel des Einsatzes von Lernvideos Yang, Yuan [Verfasser]. - München : Iudicium, 2019 DNB Subject Category Language Show details 7 Entwicklung interkultureller Handlungskompetenz. Ein didaktisches Konzept für den Wirtschaftsdeutschunterricht in China am Beispiel des Einsatzes von Lernvideos Yang, Yuan [Verfasser]; Albert, Ruth [Akademischer Betreuer]. - Marburg : Philipps-Universität Marburg, 2019 DNB Subject Category Language Show details 8 Punctuation and Parallel Corpus Based Word Embedding Model for Low-Resource Languages Yang Yuan; Xiao Li; Ya-Ting Yang In: Information ; Volume 11 ; Issue 1 (2019) BASE Show details 9 One Model for the Learning of Language ... Yang, Yuan. - : arXiv, 2017 BASE Show details 10 Dynamic Functional Brain Connectivity for Face Perception Yang, Yuan; Qiu, Yihong; Schouten, Alfred C.. - : Frontiers Media S.A., 2015 BASE Show details

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