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To assess the effectiveness of any medical intervention, researchers must conduct a time-intensive and highly manual literature review.
Clinicalbert: Modeling clinical notes and predicting hospital readmission
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M. Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, A. Mohamed, Omer Levy, Ves Stoyanov, and Luke Zettlemoyer. 2020b · 1910
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Dropout: a simple way to prevent neural networks from overfitting
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A coefficient of agreement for nominal scales
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Divergence measures based on the shannon entropy
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Randomized, controlled trials, observational studies, and the hierarchy of research designs
J. Concato, N. Shah, and R. Horwitz. 2000 · 2000
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A brief history of the randomized controlled trial. from oranges and lemons to the gold standard
M. Meldrum. 2000 · 2000
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A brief history of research synthesis
Iain Chalmers, Larry V Hedges, and Harris Cooper. 2002 · 2002
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Five steps to conducting a systematic review
K. Khan, R. Kunz, J. Kleijnen, and G. Antes. 2003 · 2003
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Longformer: The long-document transformer
Iz Beltagy, Matthew E. Peters, and Arman Cohan. 2020 · 2004
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Rouge: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
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Evidence-based medicine: answering questions of diagnosis
L. Zakowski, C. Seibert, and S. Vaneyck. 2004 · 2004
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Evaluation of pico as a knowledge representation for clinical questions
X. Huang, J. Lin, and Dina Demner-Fushman. 2006 · 2006
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M. Lewis, Marjan Ghazvininejad, Gargi Ghosh, Armen Aghajanyan, Sida Wang, and Luke Zettlemoyer. 2020a · 2006
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Asreview: Open source software for efficient and transparent active learning for systematic reviews
R. V. D. Schoot, J. D. Bruin, R. Schram, Parisa Zahedi, J. D. Boer, F. Weijdema, B. Kramer, Martijn Huijts, M. Hoogerwerf, Gerbrich Ferdinands, Albert Harkema, Joukje Willemsen, Yongchao Ma, Qixiang Fang, L. Tummers, and D. Oberski. 2020 · 2006
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How quickly do systematic reviews go out of date? a survival analysis
K. Shojania, M. Sampson, M. Ansari, J. Ji, S. Doucette, and D. Moher. 2007 · 2007
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Byron C. Wallace, Sayantan Saha, Frank Soboczenski, and I. Marshall. 2020 · 2008
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The origins, evolution, and future of the cochrane database of systematic reviews
Mark G Starr, Iain Chalmers, Mike Clarke, and Andrew David Oxman. 2009 · 2009
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Efficacy of oral cobalamin (vitamin b12) therapy
E. Andrès, H. Fothergill, and M. Mecili. 2010 · 2010
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Seventy-five trials and eleven systematic reviews a day: How will we ever keep up?
Hilda Bastian, Paul Glasziou, and Iain Chalmers. 2010 · 2010
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Clinical information retrieval using document and PICO structure
Florian Boudin, Jian-Yun Nie, and Martin Dawes. 2010 · 2010
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2010 i2b2/VA challenge on concepts, assertions, and relations in clinical text
Özlem Uzuner, Brett R South, Shuying Shen, and Scott L DuVall. 2011 · 2010
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Overview of the tac 2011 summarization track: Guided task and aesop task
Karolina Owczarzak and Hoa Trang Dang. 2011 · 2011
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The nuts and bolts of PROSPERO: an international prospective register of systematic reviews
Alison Booth, Michael Clarke, Gordon Dooley, Davina Ghersi, David Moher, Mark Petticrew, and Lesley A Stewart. 2012 · 2012
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Are systematic reviews up-to-date at the time of publication?
E. Beller, J. K. Chen, U. Wang, and P. Glasziou. 2013 · 2013
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API design for machine learning software: experiences from the scikit-learn project
Lars Buitinck, Gilles Louppe, Mathieu Blondel, Fabian Pedregosa, Andreas Mueller, Olivier Grisel, Vlad Niculae, Peter Prettenhofer, Alexandre Gramfort, Jaques Grobler, Robert Layton, Jake VanderPlas, Arnaud Joly, Brian Holt, and Gaël Varoquaux. 2013 · 2013
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Non-cancer-related mortality after cisplatin-based adjuvant chemotherapy for non-small cell lung cancer: a study-level meta-analysis of 16 randomized trials
F. Petrelli and S. Barni. 2013 · 2013
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Systematic review automation technologies
G. Tsafnat, P. Glasziou, Miew Keen Choong, A. Dunn, Filippo Galgani, and E. Coiera. 2014 · 2014
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Automated confidence ranked classification of randomized controlled trial articles: an aid to evidence-based medicine
A. Cohen, N. Smalheiser, M. McDonagh, C. Yu, C. Adams, J. M. Davis, and Philip S. Yu. 2015 · 2015
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba. 2015 · 2015
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Automating risk of bias assessment for clinical trials
I. Marshall, Joël Kuiper, and Byron C. Wallace. 2015 · 2015
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Aggregator: a machine learning approach to identifying medline articles that derive from the same underlying clinical trial
Weixiang Shao, C. Adams, A. Cohen, J. Davis, M. McDonagh, S. Thakurta, Philip S. Yu, and N. Smalheiser. 2015 · 2015
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Overview of the biocreative v chemical disease relation (cdr) task
Chih-Hsuan Wei, Yifan Peng, Robert Leaman, Allan Peter Davis, Carolyn J Mattingly, Jiao Li, Thomas C Wiegers, and Zhiyong Lu. 2015 · 2015
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Answering pico clinical questions: A semantic graph-based approach
Eya Znaidi, L. Tamine, and C. Latiri. 2015 · 2015
Cited alongside, same era.
Cochrane Handbook for Systematic Reviews of Interventions
Julian P.T. Higgins, James Thomas, Jacqueline Chandler, Miranda Cumpston, Tianjing Li, Matthew J. Page, and Vivian A. Welch, editors. 2019 · 2019
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Inferring which medical treatments work from reports of clinical trials
Eric Lehman, Jay DeYoung, Regina Barzilay, and Byron C. Wallace. 2019 · 2019
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Hierarchical transformers for multi-document summarization
Yang Liu and Mirella Lapata. 2019 · 2019
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Toward systematic review automation: a practical guide to using machine learning tools in research synthesis
I. Marshall and Byron C. Wallace. 2019 · 2019
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The significant cost of systematic reviews and meta-analyses: A call for greater involvement of machine learning to assess the promise of clinical trials
M. Michelson and K. Reuter. 2019 · 2019
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alphaXiv searches the wider corpus for related work and actual follow-ups.
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Development of a search strategy for an evidence based retrieval service
G. J. Ho, S. M. Liew, C. Ng, Ranita Hisham Shunmugam, and P. Glasziou. 2016 · 2016
Cited alongside, same era.
Chemprot-3.0: a global chemical biology diseases mapping
J. Kringelum, Sonny Kim Kjærulff, S. Brunak, O. Lund, T. Oprea, and O. Taboureau. 2016 · 2016
Cited alongside, same era.
Biocreative v cdr task corpus: a resource for chemical disease relation extraction
J. Li, Yueping Sun, Robin J. Johnson, Daniela Sciaky, Chih-Hsuan Wei, Robert Leaman, A. P. Davis, C. Mattingly, Thomas C. Wiegers, and Zhiyong Lu. 2016 · 2016
Cited alongside, same era.
Robotreviewer: evaluation of a system for automatically assessing bias in clinical trials
I. Marshall, Joël Kuiper, and Byron C. Wallace. 2016 · 2016
Cited alongside, same era.
Construction of the literature graph in semantic scholar
Waleed Ammar, Dirk Groeneveld, Chandra Bhagavatula, Iz Beltagy, Miles Crawford, Doug Downey, Jason Dunkelberger, Ahmed Elgohary, Sergey Feldman, Vu A. Ha, Rodney Michael Kinney, Sebastian Kohlmeier, Kyle Lo, Tyler C. Murray, Hsu-Han Ooi, Matthew E. Peters, Joanna L. Power, Sam Skjonsberg, Lucy Lu Wang, Christopher Wilhelm, Zheng Yuan, Madeleine van Zuylen, and Oren Etzioni. 2018 · 2018
Cited alongside, same era.
Tal Baumel, Matan Eyal, and Michael Elhadad. 2018 · 2018
Cited alongside, same era.
Making progress with the automation of systematic reviews: principles of the international collaboration for the automation of systematic reviews (icasr)
E. Beller, J. Clark, G. Tsafnat, C. Adams, H. Diehl, H. Lund, M. Ouzzani, K. Thayer, J. Thomas, T. Turner, J. Xia, K. Robinson, and P. Glasziou. 2018 · 2018
Cited alongside, same era.
Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala. 2019 · 2019
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JBI Manual for Evidence Synthesis
Edoardo Aromataris and Zachary Munn, editors. 2020 · 2020
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TLDR: Extreme summarization of scientific documents
Isabel Cachola, Kyle Lo, Arman Cohan, and Daniel Weld. 2020 · 2020
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SPECTER: Document-level representation learning using citation-informed transformers
Arman Cohan, Sergey Feldman, Iz Beltagy, Doug Downey, and Daniel Weld. 2020 · 2020
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Evidence inference 2.0: More data, better models
Jay DeYoung, Eric Lehman, Benjamin Nye, Iain Marshall, and Byron C. Wallace. 2020 · 2020
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A large-scale multi-document summarization dataset from the Wikipedia current events portal
Demian Gholipour Ghalandari, Chris Hokamp, Nghia The Pham, John Glover, and Georgiana Ifrim. 2020 · 2020
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Array programming with NumPy
Charles R. Harris, K. Jarrod Millman, Stéfan J van der Walt, Ralf Gommers, Pauli Virtanen, David Cournapeau, Eric Wieser, Julian Taylor, Sebastian Berg, Nathaniel J. Smith, Robert Kern, Matti Picus, Stephan Hoyer, Marten H. van Kerkwijk, Matthew Brett, Allan Haldane, Jaime Fernández del Río, Mark Wiebe, Pearu Peterson, Pierre Gérard-Marchant, Kevin Sheppard, Tyler Reddy, Warren Weckesser, Hameer Abbasi, Christoph Gohlke, and Travis E. Oliphant. 2020 · 2020
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Pandemic publishing: Medical journals strongly speed up their publication process for covid-19
S. Horbach. 2020 · 2020
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Swift-active screener: Accelerated document screening through active learning and integrated recall estimation
Brian Howard, Jason Phillips, Arpit Tandon, Adyasha Maharana, Rebecca Elmore, Deepak Mav, Alex Sedykh, Kristina Thayer, Alex Merrick, Vickie Walker, Andrew Rooney, and Ruchir Shah. 2020 · 2020
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Scirex: A challenge dataset for document-level information extraction
Sarthak Jain, Madeleine van Zuylen, Hannaneh Hajishirzi, and Iz Beltagy. 2020 · 2020
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Covid-19 preprints and their publishing rate: An improved method
F. Lachapelle. 2020 · 2020
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Biobert: a pre-trained biomedical language representation model for biomedical text mining
Jinhyuk Lee, Wonjin Yoon, Sungdong Kim, D. Kim, Sunkyu Kim, Chan Ho So, and Jaewoo Kang. 2020 · 2020
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Leveraging graph to improve abstractive multi-document summarization
Wei Li, Xinyan Xiao, Jiachen Liu, Hua Wu, Haifeng Wang, and Junping Du. 2020 · 2020
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S2ORC: The semantic scholar open research corpus
Kyle Lo, Lucy Lu Wang, Mark Neumann, Rodney Kinney, and Daniel Weld. 2020 · 2020
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Systematic review automation methods
Christopher Norman. 2020 · 2020
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Understanding clinical trial reports: Extracting medical entities and their relations
Benjamin E. Nye, Jay DeYoung, Eric Lehman, Ani Nenkova, Iain J. Marshall, and Byron C. Wallace. 2020 · 2020
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Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, W. Li, and Peter J. Liu. 2020 · 2020
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SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python
Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, Stéfan J. van der Walt, Matthew Brett, Joshua Wilson, K. Jarrod Millman, Nikolay Mayorov, Andrew R. J. Nelson, Eric Jones, Robert Kern, Eric Larson, C J Carey, İlhan Polat, Yu Feng, Eric W. Moore, Jake VanderPlas, Denis Laxalde, Josef Perktold, Robert Cimrman, Ian Henriksen, E. A. Quintero, Charles R. Harris, Anne M. Archibald, Antônio H. Ribeiro, Fabian Pedregosa, Paul van Mulbregt, and SciPy 1.0 Contributors. 2020 · 2020
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Fact or fiction: Verifying scientific claims
David Wadden, Kyle Lo, Lucy Lu Wang, Shanchuan Lin, Madeleine van Zuylen, Arman Cohan, and Hannaneh Hajishirzi. 2020 · 2020
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CORD-19: The COVID-19 open research dataset
Lucy Lu Wang, Kyle Lo, Yoganand Chandrasekhar, Russell Reas, Jiangjiang Yang, Doug Burdick, Darrin Eide, Kathryn Funk, Yannis Katsis, Rodney Michael Kinney, Yunyao Li, Ziyang Liu, William Merrill, Paul Mooney, Dewey A. Murdick, Devvret Rishi, Jerry Sheehan, Zhihong Shen, Brandon Stilson, Alex D. Wade, Kuansan Wang, Nancy Xin Ru Wang, Christopher Wilhelm, Boya Xie, Douglas M. Raymond, Daniel S. Weld, Oren Etzioni, and Sebastian Kohlmeier. 2020b · 2020
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Transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander M. Rush. 2020 · 2020
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Bertscore: Evaluating text generation with bert
Tianyi Zhang*, Varsha Kishore*, Felix Wu*, Kilian Q. Weinberger, and Yoav Artzi. 2020 · 2020
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Nutribullets hybrid: Multi-document health summarization
Darsh J Shah, Lili Yu, Tao Lei, and Regina Barzilay. 2021 · 2021
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