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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 – 15 of 15 1 GatorTron: A Large Clinical Language Model to Unlock Patient Information from Unstructured Electronic Health Records ... Yang, Xi; PourNejatian, Nima; Shin, Hoo Chang. - : arXiv, 2022 BASE Show details 2 Tracing Text Provenance via Context-Aware Lexical Substitution ... Yang, Xi; Zhang, Jie; Chen, Kejiang. - : arXiv, 2021 BASE Show details 3 Assessing mental health signals among sexual and gender minorities using Twitter data ... Yunpeng Zhao; Guo, Yi; He, Xing. - : Figshare, 2019 BASE Show details 4 Assessing mental health signals among sexual and gender minorities using Twitter data ... Yunpeng Zhao; Guo, Yi; He, Xing. - : Figshare, 2019 BASE Show details 5 A Study of Deep Learning Methods for De-identification of Clinical Notes at Cross Institute Settings Yang, Xi; Lyu, Tianchen; Lee, Chih-Yin. - 2019 BASE Show details 6 A study of deep learning methods for de-identification of clinical notes in cross-institute settings Yang, Xi; Lyu, Tianchen; Li, Qian. - : BioMed Central, 2019 BASE Show details 7 MADEx: A System for Detecting Medications, Adverse Drug Events, and their Relations from Clinical Notes Yang, Xi; Bian, Jiang; Gong, Yan; Hogan, William R.; Wu, Yonghui. - 2019 Abstract: INTRODUCTION: Early detection of Adverse Drug Events (ADEs) from Electronic Health Records (EHRs) is an important, challenging task to support pharmacovigilance and drug safety surveillance. A well-known challenge to use clinical text for detection of ADEs is that much of the detailed information is documented in a narrative manner. Clinical Natural Language Processing (NLP) is the key technology to extract information from unstructured clinical text. OBJECTIVE: We present a machine learning-based clinical NLP system - MADEx for detecting medications, ADEs and their relations from clinical notes. METHODS: We developed a Recurrent Neural Network (RNN) model using Long Short-Term Memory (LSTM) strategy for clinical Name Entity Recognition (NER) and compared it with a baseline Conditional Random Fields (CRFs). We developed a modified training strategy for RNN, which outperformed the widely used early stop strategy. For relation extraction, we compared Support Vector Machines (SVMs) and Random Forests on single-sentence relations and cross-sentence relations. We also developed an integrated pipeline to extract entities and relations together by combining RNN and SVMs. RESULTS: MADEx achieved top three best performance (F1-score of 0.8233) for clinical NER in the 2018 Medication and Adverse Drug Events (MADE1.0) challenge. The post-challenge evaluation showed that the relation extraction module and integrated pipeline (identify entity and relation together) of MADEx are comparable to the best systems developed in this challenge. CONCLUSION: This study demonstrated the efficiency of deep learning methods for automatic extraction of medications, ADEs, and their relations from clinical text to support pharmacovigilance and drug safety surveillance. Keyword: Article URL: https://doi.org/10.1007/s40264-018-0761-0 http://www.ncbi.nlm.nih.gov/pubmed/30600484 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6402874/ BASE Hide details 8 Rome Foundation-Asian working team report: Asian functional gastrointestinal disorder symptom clusters Siah, Kewin Tien Ho; Gong, Xiaorong; Yang, Xi Jessie. - : BMJ Publishing Group Ltd, 2018 BASE Show details 9 Assessing Mental Health Signals among Sexual and Gender Minorities using Twitter Data Zhao, Yunpeng; Guo, Yi; He, Xing. - 2018 BASE Show details 10 An Analytical Study of Not-negation and No-negation Translated in the Chinese Version of the Fantasy Fiction The Hobbit Yang, Xi. - : The University of Queensland, School of Languages and Cultures, 2018 BASE Show details 11 Potential screening and early diagnosis method for cancer: Tongue diagnosis HAN, SHUWEN; YANG, XI; QI, QUAN. - : D.A. Spandidos, 2016 BASE Show details 12 Mirror neuron system based therapy for aphasia rehabilitation Chen, Wenli; Ye, Qian; Ji, Xiangtong. - : Frontiers Media S.A., 2015 BASE Show details 13 A shape-initialized and intensity-adaptive level set method for auroral oval segmentation Yang, Xi; Gao, Xinbo; Li, Jie... In: Information sciences. - New York, NY : Elsevier Science Inc. 277 (2014), 794-807 OLC Linguistik Show details 14 Discriminatively trained GMMs for language classification using boosting methods Yang, Xi; Siu, Man-Hung; Gish, Herbert In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 17 (2009) 1, 187-197 BLLDB OLC Linguistik Show details 15 Research On The Implications Of Business English Teaching On Bilingual Courses In Business Communication. Yang Xi BASE Show details

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