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This paper proposes a new natural language processing (NLP) application for identifying medical jargon terms potentially difficult for patients to comprehend from electronic health record (EHR) notes.
Roberta: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
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The probable error of a mean
Student. 1908 · 1908
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Language models as knowledge bases?
Fabio Petroni, Tim Rocktäschel, Patrick Lewis, Anton Bakhtin, Yuxiang Wu, Alexander H Miller, and Sebastian Riedel. 2019 · 1909
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Why do masked neural language models still need common sense knowledge?
Sunjae Kwon, Cheongwoong Kang, Jiyeon Han, and Jaesik Choi. 2019a · 1911
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Medcat–medical concept annotation tool
Zeljko Kraljevic, Daniel Bean, Aurelie Mascio, Lukasz Roguski, Amos Folarin, Angus Roberts, Rebecca Bendayan, and Richard Dobson. 2019 · 1912
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Error bounds for convolutional codes and an asymptotically optimum decoding algorithm
Andrew Viterbi. 1967 · 1967
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Giving patients their own records in general practice: experience of patients and staff
Molly Baldry, Carol Cheal, Brian Fisher, Myra Gillett, and Val Huet. 1986 · 1986
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The unified medical language system
Donald AB Lindberg, Betsy L Humphreys, and Alexa T McCray. 1993 · 1993
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Effective mapping of biomedical text to the umls metathesaurus: the metamap program
Alan R Aronson. 2001 · 2001
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Conditional random fields: Probabilistic models for segmenting and labeling sequence data
John D Lafferty, Andrew McCallum, and Fernando CN Pereira. 2001 · 2001
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Improved automatic keyword extraction given more linguistic knowledge
Anette Hulth. 2003 · 2003
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The unified medical language system (umls): integrating biomedical terminology
Olivier Bodenreider. 2004 · 2004
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An anova test for functional data
Antonio Cuevas, Manuel Febrero, and Ricardo Fraiman. 2004 · 2004
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Introduction to the bio-entity recognition task at jnlpba
Jin-Dong Kim, Tomoko Ohta, Yoshimasa Tsuruoka, Yuka Tateisi, and Nigel Collier. 2004 · 2004
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Textrank: Bringing order into text
Rada Mihalcea and Paul Tarau. 2004 · 2004
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Normalization as a preprocessing engine for data mining and the approach of preference matrix
Luai Al Shalabi and Zyad Shaaban. 2006 · 2006
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Exploring and developing consumer health vocabularies
Qing T Zeng and Tony Tse. 2006 · 2006
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A survey on self-supervised pre-training for sequential transfer learning in neural networks
Huanru Henry Mao. 2020 · 2007
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Wikify! linking documents to encyclopedic knowledge
Rada Mihalcea and Andras Csomai. 2007 · 2007
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Beautiful soup documentation
Leonard Richardson. 2007 · 2007
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Making texts in electronic health records comprehensible to consumers: a prototype translator
Qing Zeng-Treitler, Sergey Goryachev, Hyeoneui Kim, Alla Keselman, and Douglas Rosendale. 2007 · 2007
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Overview of biocreative ii gene mention recognition
Larry Smith, Lorraine K Tanabe, Cheng-Ju Kuo, I Chung, Chun-Nan Hsu, Yu-Shi Lin, Roman Klinger, Christoph M Friedrich, Kuzman Ganchev, Manabu Torii, et al. 2008 · 2008
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Natural language processing with Python: analyzing text with the natural language toolkit
Steven Bird, Ewan Klein, and Edward Loper. 2009 · 2009
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High accuracy information extraction of medication information from clinical notes: 2009 i2b2 medication extraction challenge
Jon Patrick and Min Li. 2010 · 2009
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Effects of self-management support on structure, process, and outcomes among vulnerable patients with diabetes: a three-arm practical clinical trial
Dean Schillinger, Margaret Handley, Frances Wang, and Hali Hammer. 2009 · 2009
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Improving health outcomes with better patient understanding and education
Robert John Adams. 2010 · 2010
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Linnaeus: a species name identification system for biomedical literature
Martin Gerner, Goran Nenadic, and Casey M Bergman. 2010 · 2010
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A semantic and syntactic text simplification tool for health content
Sasikiran Kandula, Dorothy Curtis, and Qing Zeng-Treitler. 2010 · 2010
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Keyphrases extraction from user-generated contents in healthcare domain using long short-term memory networks
Ilham Fathy Saputra, Rahmad Mahendra, and Alfan Farizki Wicaksono. 2018 · 2018
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Luminosoinsight/wordfreq: v2.2
Robyn Speer, Joshua Chin, Andrew Lin, Sara Jewett, and Lance Nathan. 2018 · 2018
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A survey on deep transfer learning
Chuanqi Tan, Fuchun Sun, Tao Kong, Wenchang Zhang, Chao Yang, and Chunfang Liu. 2018 · 2018
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Design challenges and misconceptions in neural sequence labeling
Jie Yang, Shuailong Liang, and Yue Zhang. 2018 · 2018
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Training to improve communication quality: an efficient interdisciplinary experience for emergency department clinicians
Emily L Aaronson, Benjamin A White, Lauren Black, David F Brown, Theodore Benzer, Allison Castagna, Ali S Raja, Jonathan Sonis, and Elizabeth Mort. 2019 · 2019
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An improved corpus of disease mentions in pubmed citations
Rezarta Islamaj Dogan and Zhiyong Lu. 2012 · 2012
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The species and organisms resources for fast and accurate identification of taxonomic names in text
Evangelos Pafilis, Sune P Frankild, Lucia Fanini, Sarah Faulwetter, Christina Pavloudi, Aikaterini Vasileiadou, Christos Arvanitidis, and Lars Juhl Jensen. 2013 · 2013
Cited alongside, same era.
Improving patients’ electronic health record comprehension with noteaid
Balaji Polepalli Ramesh, Thomas Houston, Cynthia Brandt, Hua Fang, and Hong Yu. 2013 · 2013
Cited alongside, same era.
Guido Zuccon, Alexander Holloway, Bevan Koopman, and Anthony Nguyen. 2013 · 2013
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Medical text simplification using synonym replacement: Adapting assessment of word difficulty to a compounding language
Emil Abrahamsson, Timothy Forni, Maria Skeppstedt, and Maria Kvist. 2014 · 2014
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Szte-nlp: Clinical text analysis with named entity recognition
Melinda Katona and Richárd Farkas. 2014 · 2014
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Wikiextractor
Giusepppe Attardi. 2015 · 2015
Cited alongside, same era.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Overview of the first natural language processing challenge for extracting medication, indication, and adverse drug events from electronic health record notes (made 1.0)
Abhyuday Jagannatha, Feifan Liu, Weisong Liu, and Hong Yu. 2019 · 2019
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Neural versus non-neural text simplification: A case study
Islam Nassar, Michelle Ananda-Rajah, and Gholamreza Haffari. 2019 · 2019
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Neural transfer learning for natural language processing
Sebastian Ruder. 2019 · 2019
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Don’t stop pretraining: Adapt language models to domains and tasks
Suchin Gururangan, Ana Marasović, Swabha Swayamdipta, Kyle Lo, Iz Beltagy, Doug Downey, and Noah A Smith. 2020 · 2020
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Biobert: a pre-trained biomedical language representation model for biomedical text mining
Jinhyuk Lee, Wonjin Yoon, Sungdong Kim, Donghyeon Kim, Sunkyu Kim, Chan Ho So, and Jaewoo Kang. 2020 · 2020
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Pretrained language models for biomedical and clinical tasks: Understanding and extending the state-of-the-art
Patrick Lewis, Myle Ott, Jingfei Du, and Veselin Stoyanov. 2020 · 2020
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Transformers: State-of-the-art natural language processing
Thomas Wolf, Julien Chaumond, Lysandre Debut, Victor Sanh, Clement Delangue, Anthony Moi, Pierric Cistac, Morgan Funtowicz, Joe Davison, Sam Shleifer, et al. 2020 · 2020
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Self-diagnosis through ai-enabled chatbot-based symptom checkers: user experiences and design considerations
Yue You and Xinning Gui. 2020 · 2020
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Mturk research: Review and recommendations
Herman Aguinis, Isabel Villamor, and Ravi S Ramani. 2021 · 2021
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Multi-domain clinical natural language processing with medcat: the medical concept annotation toolkit
Zeljko Kraljevic, Thomas Searle, Anthony Shek, Lukasz Roguski, Kawsar Noor, Daniel Bean, Aurelie Mascio, Leilei Zhu, Amos A Folarin, Angus Roberts, et al. 2021 · 2021
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Evaluating the effectiveness of noteaid in a community hospital setting: Randomized trial of electronic health record note comprehension interventions with patients
John P Lalor, Wen Hu, Matthew Tran, Hao Wu, Kathleen M Mazor, and Hong Yu. 2021 · 2021
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Umlsbert: Clinical domain knowledge augmentation of contextual embeddings using the unified medical language system metathesaurus
George Michalopoulos, Yuanxin Wang, Hussam Kaka, Helen Chen, and Alexander Wong. 2021 · 2021
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Sparclink: an interactive tool to visualize the impact of the sparc program
Sanjay Soundarajan, Sachira Kuruppu, Ashutosh Singh, Jongchan Kim, and Monalisa Achalla. 2021 · 2021
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Factual probing is [mask]: Learning vs. learning to recall
Zexuan Zhong, Dan Friedman, and Danqi Chen. 2021 · 2021
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Analyzing wrap-up effects through an information-theoretic lens
Clara Meister, Tiago Pimentel, Thomas Clark, Ryan Cotterell, and Roger Levy. 2022 · 2022
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in: Cambridge Dictionary
Shock. 2022 · 2022
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