| Living systematic review: 1. Introduction—the why, what, when, and how JH Elliott, A Synnot, T Turner, M Simmonds, EA Akl, S McDonald, ... Journal of clinical epidemiology 91, 23-30, 2017 | 606 | 2017 |
| Lay perspectives on hypertension and drug adherence: systematic review of qualitative research IJ Marshall, CDA Wolfe, C McKevitt Bmj 345, 2012 | 529 | 2012 |
| Toward systematic review automation: a practical guide to using machine learning tools in research synthesis IJ Marshall, BC Wallace Systematic reviews 8, 1-10, 2019 | 453 | 2019 |
| The effects of socioeconomic status on stroke risk and outcomes IJ Marshall, Y Wang, S Crichton, C McKevitt, AG Rudd, CDA Wolfe The Lancet Neurology 14 (12), 1206-1218, 2015 | 397 | 2015 |
| Living systematic reviews: 2. Combining human and machine effort J Thomas, A Noel-Storr, I Marshall, B Wallace, S McDonald, ... Journal of clinical epidemiology 91, 31-37, 2017 | 324 | 2017 |
| Machine learning for identifying randomized controlled trials: an evaluation and practitioner's guide IJ Marshall, A Noel‐Storr, J Kuiper, J Thomas, BC Wallace Research synthesis methods 9 (4), 602-614, 2018 | 321 | 2018 |
| RobotReviewer: Evaluation of a System for Automatically Assessing Bias in Clinical Trials IJ Marshall, J Kuiper, BC Wallace JAMIA, 2015 | 284 | 2015 |
| A corpus with multi-level annotations of patients, interventions and outcomes to support language processing for medical literature B Nye, JJ Li, R Patel, Y Yang, IJ Marshall, A Nenkova, BC Wallace Proceedings of the conference. Association for Computational Linguistics …, 2018 | 268 | 2018 |
| Living systematic reviews: 4. Living guideline recommendations EA Akl, JJ Meerpohl, J Elliott, LA Kahale, HJ Schünemann, T Agoritsas, ... Journal of clinical epidemiology 91, 47-53, 2017 | 267 | 2017 |
| Extracting PICO sentences from clinical trial reports using supervised distant supervision BC Wallace, J Kuiper, A Sharma, MB Zhu, IJ Marshall Journal of Machine Learning Research 17 (132), 1-25, 2016 | 191 | 2016 |
| Rationale-augmented convolutional neural networks for text classification Y Zhang, I Marshall, BC Wallace Proceedings of the Conference on Empirical Methods in Natural Language …, 2016 | 175 | 2016 |
| A systematic review of machine learning models for predicting outcomes of stroke with structured data W Wang, M Kiik, N Peek, V Curcin, IJ Marshall, AG Rudd, Y Wang, ... PloS one 15 (6), e0234722, 2020 | 169 | 2020 |
| Identifying reports of randomized controlled trials (RCTs) via a hybrid machine learning and crowdsourcing approach BC Wallace, A Noel-Storr, IJ Marshall, AM Cohen, NR Smalheiser, ... Journal of the American Medical Informatics Association 24 (6), 1165-1168, 2017 | 144 | 2017 |
| Machine learning reduced workload with minimal risk of missing studies: development and evaluation of a randomized controlled trial classifier for Cochrane Reviews J Thomas, S McDonald, A Noel-Storr, I Shemilt, J Elliott, C Mavergames, ... Journal of Clinical Epidemiology 133, 140-151, 2021 | 142 | 2021 |
| Living systematic reviews: 3. Statistical methods for updating meta-analyses M Simmonds, G Salanti, J McKenzie, J Elliott, T Agoritsas, J Hilton, ... Journal of clinical epidemiology 91, 38-46, 2017 | 121 | 2017 |
| Paragraph-level simplification of medical texts A Devaraj, BC Wallace, IJ Marshall, JJ Li Proceedings of the conference. Association for Computational Linguistics …, 2021 | 106 | 2021 |
| Automating biomedical evidence synthesis: RobotReviewer IJ Marshall, J Kuiper, E Banner, BC Wallace Proceedings of the conference. Association for Computational Linguistics …, 2017 | 89 | 2017 |
| Automating risk of bias assessment for clinical trials IJ Marshall, J Kuiper, BC Wallace proceedings of the 5th ACM Conference on Bioinformatics, Computational …, 2014 | 81 | 2014 |
| Rapid reviews may produce different results to systematic reviews: a meta-epidemiological study IJ Marshall, R Marshall, BC Wallace, J Brassey, J Thomas Journal of clinical epidemiology 109, 30-41, 2019 | 80 | 2019 |
| Generating (factual?) narrative summaries of rcts: Experiments with neural multi-document summarization BC Wallace, S Saha, F Soboczenski, IJ Marshall AMIA Summits on Translational Science Proceedings 2021, 605, 2021 | 77 | 2021 |
Byron WallaceAssociate Professor, Northeastern Universityccs.neu.edu의 이메일 확인됨