2021
Interpretability Analysis for Named Entity Recognition to Understand System Predictions and How They Can Improve
Oshin Agarwal, Yinfei Yang, Byron C. Wallace, and Ani Nenkova
Generating (Factual?) Narrative Summaries of RCTs: Experiments with Neural Multi-Document Summarization
Byron C. Wallace, Sayantan Saha, Frank Soboczenski and Iain J. Marshall
AMIA Summit
pre-print
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
AMIA Summit
pre-print
2020
Semi-Automated Evidence Synthesis in Health Psychology: Current Methods and Future Prospects
Iain Marshall, Blair T. Johnson, Zigeng Wang, Sanguthevar Rajasekaran and Byron C. Wallace
Health Psychology Review
pre-print
ERASER: A Benchmark to Evaluate Rationalized NLP Models
Jay DeYoung, Sarthak Jain, Nazneen Fatema Rajani, Eric Lehman, Caiming Xiong, Richard Socher, and Byron C. Wallace
ACL 2020
pre-print
Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions
Xiaochuang Han, Byron C. Wallace, and Yulia Tsvetkov
ACL 2020
pre-print
Learning to Faithfully Rationalize by Construction
Sarthak Jain, Sarah Wiegreffe, Yuval Pinter, and Byron C. Wallace
ACL 2020
pre-print
Trialstreamer: Mapping and Browsing Medical Evidence in Real-Time
Benjamin Nye, Ani Nenkova, Iain J. Marshall, and Byron C. Wallace
ACL 2020 (demo track)
pre-print
Evidence Inference 2.0: More Data, Better Models
Jay DeYoung and Eric Lehman and Benjamin Nye and Iain Marshall and Byron C. Wallace
BioNLP
pre-print
Semi-Automating Knowledge Base Construction for Cancer Genetics
Somin Wadhwa, Kanhua Yin, Kevin S. Hughes, and Byron C. Wallace
AKBC
link
Query-Focused EHR Summarization to Aid Imaging Diagnosis
Denis Jered McInerney, Borna Dabiri, Anne-Sophie Touret, Geoffrey Young, Jan-Willem van de Meent and Byron C. Wallace
Machine Learning for Healthcare
pre-print
Trialstreamer: a living, automatically updated database of clinical trial reports
Iain J. Marshall, Benjamin Nye, Joël Kuiper, Anna Noel-Storr, Rachel Marshall, Rory Maclean, Frank Soboczenski, Ani Nenkova, James Thomas, and Byron C. Wallace
Journal of American Medical Informatics Association
pre-print
Predicting unplanned readmissions following a hip or knee arthroplasty
Ramin Mohammadi, Sarthak Jain, Amir T Namin, Melissa Scholem Heller, Ramya Palacholla, Sagar Kamarthi, and Byron C. Wallace
JMIR Medical Informatics
link
2019
Learning to Identify Patients at Risk of Uncontrolled Hypertension Using Electronic Health Records Data
Ramin Mohammadi, Sarthak Jain, Stephen Agboola, Ramya Palacholla, Sagar Kamarthi and Byron C. Wallace
AMIA Informatics Summit
pre-print
Structured Representations for Reviews: Aspect-Based Variational Hidden Factor Models
Babak Esmaeili, Hongyi Huang, Byron C. Wallace, and Jan-Willem van de Meent
AISTATS
pre-print
link
Rapid reviews may produce different results to systematic reviews: a meta-epidemiological study
Iain J. Marshall, Rachel Marshall, Byron C. Wallace, Jon Brassey, and James Thomas
Journal of Clinical Epidemiology
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Machine learning to help researchers evaluate biases in clinical trials: a prospective, randomized user study
Frank Soboczenski, Thomas A Trikalinos, Joël Kuiper, Randolph G Bias, Byron C Wallace and Iain J Marshall
BMC Medical Informatics and Decision Making
link
Toward systematic review automation: a practical guide to using machine learning tools in research synthesis
Iain Marshall and Byron C. Wallace
Systematic Reviews
link
2018
Living systematic reviews: 2. Combining human and machine effort
J Thomas, A Noel-Storr, I Marshall, BC Wallace, S McDonale, C Mavergames, P Glasziou, I Shemilt, A Synnot, T Turner and J Elliot
Journal of Clinical Epidemiology
link
Neural Information Retrieval: At the End of the Early Years
KD Onal, Y Zhang, IS Altingovde, M Rahman, P Karagoz, A Braylan, B Dang, HL Chang, H Kim, Q McNamara, A Angert, E Banner, V Khetan, T McDonnell, AT Nguyen, D Xu, BC Wallace, M Rijke, and M Lease
Information Retrieval
pre-print
link
Machine Learning for Identifying Randomized Controlled Trials: an evaluation and practitioner’s guide
Iain Marshall, Anna Noel Storr, Joël Kuiper, James Thomas and Byron C. Wallace
Research Synthesis Methods
link
PIVET: A scaled phenotype evidence generation framework using online medical literature
Jette Henderson, Junyuan Ke, Joyce C. Ho, Joydeep Ghosh, and Byron C. Wallace
Journal of Medical Internet Research
link
Believe it or not: Designing a Human-AI Partnership for Mixed-Initiative Fact-Checking
An T. Nguyen, Aditya Kharosekar, Saumyaa Krishnan, Siddhesh Krishnan, Elizabeth Tate, Byron C. Wallace and Matthew Lease
ACM UIST
pre-print
2017
OpenMEE: Intuitive, open-source software for meta-analysis in ecology and evolutionary biology
Byron C. Wallace, Marc J. Lajeunesse, George Dietz, Issa J. Dahabreh, Thomas A. Trikalinos, Christopher H. Schmid and Jessica Gurevitch
Methods in Ecology and Evolution
link
PheKnow–Cloud: A Tool for Evaluating High-Throughput Phenotype Candidates using Online Medical Literature
Jette Henderson, Ryan Bridges, Joyce C. Ho, Byron C. Wallace and Joydeep Ghosh
AMIA Joint Summits on Translational Science
Recipient of the 2017 Distinguished Clinical Research Informatics Paper Award
pre-print
Retrofitting Concept Vector Representations of Medical Concepts to Improve Estimates of Semantic Similarity and Relatedness
Zhiguo Yu, Byron C. Wallace, Todd Johnson and Trevor Cohen
MEDINFO
An Exploration of Crowdsourcing Citation Screening for Systematic Reviews
Michael L. Mortensen, Gaelen P. Adam, Thomas A. Trikalinos, Tim Kraska and Byron C. Wallace
Research Synthesis Methods
pre-print
Identifying diagnostic test accuracy publications using a deep model
Gaurav Singh, Iain Marshall, James Thomas and Byron C. Wallace
CLEF eHealth
2016
A Data-Driven Approach to Characterizing the (Perceived) Newsworthiness of Health Science Articles
Ye Zhang, Erin Willis, Michael Paul, Noémie Elhadad and Byron C. Wallace
JMIR Medical Informatics
link
Probabilistic Modeling for Crowdsourcing Partially-Subjective Ratings
An T. Nguyen, Matthew Halpern, Byron C. Wallace and Matthew Lease
AAAI HCOMP
pre-print
link
Evaluating Data Abstraction Assistant, anovel software application for dataabstraction during systematic reviews:protocol for a randomized controlled trial
Ian J Saldanha, Christopher H Schmid, Joseph Lau, Kay Dickersin, Jesse A Berlin, Jens Jap, Bryant T Smith, Simona Carini, Wiley Chan, Berry De Bruijn, Byron C Wallace, Susan M Hutfless, Ida Sim, M Hassan Murad, Sandra A Walsh, Elizabeth J Whamond and Tianjing Li
Systematic Reviews
Trial protocol
link
2015
Reports of the AAAI 2014 Conference Workshops
Stefano V. Albrecht, André M. S. Barreto, Darius Braziunas, David L. Buckeridge, Heriberto Cuayáhuitl, Nina Dethlefs, Markus Endres, Amir-massoud Farahmand, Mark Fox, Lutz Frommberger, Sam Ganzfried, Yolanda Gil, Sébastien Guillet, Lawrence E. Hunter, Arnav Jhala, Kristian Kersting, George Konidaris, Freddy Lecue, Sheila McIlraith, Sriraam Natarajan, Zeinab Noorian, David Poole, Rémi Ronfard, Alessandro Saffiotti, Arash Shaban-Nejad, Biplav Srivastava, Gerald Tesauro, Rosario Uceda-Sosa, Guy Van den Broeck, Martijn van Otterlo, Byron C. Wallace, Paul Weng, Jenna Wiens, Jie Zhang
Artificial Intelligence Magazine
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2014
#CochraneTech: Technology and the Future of Systematic Reviews
Julian Elliott, Ida Sim, Jessica Thomas, Nancy Owens, Gordon Dooley, Jacob Riis, Byron Wallace, James Thomas, Anna Noel-Storr, Gabriel Rada, Caroline Struthers, Tracey Howe, Harriet MacLehose, Linn Brandt, Ilkka Kunnamo and Chris Mavergames
Cochrane Library Editorial
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2013
Automatically Annotating Topics in Transcripts of Patient-Provider Interactions via Machine Learning
Byron C. Wallace, M. Barton Laws, Kevin Small, Ira B. Wilson and Thomas A. Trikalinos
Medical Decision Making
Highlighted in this MDM editorial.
link
2012
Toward modernizing the systematic review pipeline in genetics: efficient updating via data mining.
Byron C. Wallace, Kevin Small, Carla E. Brodley, Joseph Lau, Christopher H. Schmid, Lars Bertram, Christina M. Lill, Joshua T. Cohen and Thomas A. Trikalinos
Genetics in Medicine
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Closing the Gap between Methodologists and End-Users: R as a Computational Back-End
Byron C. Wallace, Issa J. Dahabreh, Thomas A. Trikalinos, Joseph Lau, Paul Trow and Christopher H. Schmid
Journal of Statistical Software
link
2011
Single cell time-resolved quorum responses reveal dependence on cell density and configuration
Ragnhild D. Whitaker, Steve Pember, Byron C Wallace, Carla E Brodley and David Walt
Journal of Biological Chemistry
link
2010
Semi-automated screening of biomedical citations for systematic reviews
Byron C Wallace, Thomas A Trikalinos, Joseph Lau, Carla E Brodley and Chistopher H Schmid
BMC Bioinformatics
link
2009
Meta-Analyst: software for meta-analysis of binary, continuous and diagnostic data
Byron C Wallace, Christopher H Schmid, Joseph Lau and Thomas A Trikalinos
BMC Research Methods
Highly accessed
link
The COPD Genetic Association Compendium: a Comprehensive Online Database of COPD Genetic Associations
PJ Castaldi, MH Cho, M Cohn, F Langerman, S Moran, N Tarragona, H Moukhachen, R Venugopal, D Hasimja, E Kao, BC Wallace, CP Hersh, S Bagade, L Bertram, EK Silverman, TA Trikalinos
Human Molecular Genetics
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