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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; Bian, Jiang; Hogan, William R.; Wu, Yonghui. - 2019 Abstract: In this study, we examined a deep learning method for de-identification of clinical notes at UF Health under a cross-institute setting. We developed deep learning models using 2014 i2b2/UTHealth corpus and evaluated the performance using clinical notes collected from UF Health. We compared four pre-trained word embeddings, including two embeddings from the general domain and two embeddings from the clinical domain. We also explored linguistic features (i.e., word shape and part-of-speech) to further improve the performance of de-identification. The experimental results show that the performance of deep learning models trained using i2b2/UTHealth corpus significantly dropped (strict and relax F1 scores dropped from 0.9547 and 0.9646 to 0.8360 and 0.8870) when applied to another corpus from a different institution (UF Health). Linguistic features, including word shapes and part-of-speech, could further improve the performance of de-identification in cross-institute settings (improved to 0.8527 and 0.9052). Keyword: Article URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6932867/ BASE Hide 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. - 2019 BASE Show 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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