Wallace, Byron C.

Closing the Gap between Methodologists and End-Users: R as a Computational Back-End

Wallace, B. C., Dahabreh, I. J., Trikalinos, T. A., Lau, J., Trow, P., & Schmid, C. H. (2012) · Journal of Statistical Software

Data Analysis with RScientific Computing and Data Management

Cited by 1,125

Living systematic review: 1. Introduction-the why, what, when, and how

Elliott, J. H., Synnot, A., Turner, T., Simmonds, M., Akl, E. A., McDonald, S., Salanti, G., Meerpohl, J., MacLehose, H., Hilton, J., et al. (2017) · Journal of Clinical Epidemiology

Meta-analysis and systematic reviewsClinical practice guidelines implementation

Cited by 655

Toward systematic review automation: a practical guide to using machine learning tools in research synthesis

Marshall, I. J., & Wallace, B. C. (2019) · Systematic Reviews

Meta-analysis and systematic reviewsComputational and Text Analysis Methods

Cited by 638

ERASER: A Benchmark to Evaluate Rationalized NLP Models

DeYoung, J., Jain, S., Rajani, N. F., Lehman, E., Xiong, C., Socher, R., & Wallace, B. C. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 561

Deploying an interactive machine learning system in an evidence-based practice center: abstrackr

Wallace, B. C., Small, K., Brodley, C. E., Lau, J., & Trikalinos, T. A. (2012) · Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium

Meta-analysis and systematic reviewsInformation Retrieval and Search Behavior

Cited by 532

Machine learning for identifying Randomized Controlled Trials: An evaluation and practitioner's guide

Marshall, I. J., Noel‐Storr, A., Kuiper, J., Thomas, J., & Wallace, B. C. (2018) · Research Synthesis Methods

Meta-analysis and systematic reviewsInformation Retrieval and Search Behavior

Cited by 435

Open MEE : Intuitive, open‐source software for meta‐analysis in ecology and evolutionary biology

Wallace, B. C., Lajeunesse, M. J., Dietz, G., Dahabreh, I. J., Trikalinos, T. A., Schmid, C. H., & Gurevitch, J. (2017) · Methods in Ecology and Evolution

Meta-analysis and systematic reviewsResearch Data Management Practices

Cited by 421

Semi-automated screening of biomedical citations for systematic reviews

Wallace, B. C., Trikalinos, T. A., Lau, J., Brodley, C., & Schmid, C. H. (2010) · BMC Bioinformatics

Meta-analysis and systematic reviewsText and Document Classification Technologies

Cited by 351

Living systematic reviews: 4. Living guideline recommendations.

Akl, E. A., Meerpohl, J. J., Elliott, J., Kahale, L. A., Schünemann, H. J., Agoritsas, T., Hilton, J., Perron, C., Akl, E., Hodder, R., et al. (2017) · Journal of Clinical Epidemiology

Clinical practice guidelines implementationMeta-analysis and systematic reviews

Cited by 328

RobotReviewer: evaluation of a system for automatically assessing bias in clinical trials

Marshall, I. J., Kuiper, J., & Wallace, B. C. (2016) · Journal of the American Medical Informatics Association

Meta-analysis and systematic reviewsComputational and Text Analysis Methods

Cited by 317

Rationale-Augmented Convolutional Neural Networks for Text Classification

Zhang, Y., Marshall, I., & Wallace, B. C. (2016) · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing

Topic ModelingText and Document Classification Technologies

Cited by 249

A corpus with multi-level annotations of patients, interventions and outcomes to support language processing for medical literature

Nye, B., Li, J. J., Patel, R., Yang, Y., Marshall, I., Nenkova, A., & Wallace, B. (2018) · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Biomedical Text Mining and OntologiesMeta-analysis and systematic reviews

Cited by 224

Revisiting Relation Extraction in the era of Large Language Models

Wadhwa, S., Amir, S., & Wallace, B. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 207

Identifying reports of randomized controlled trials (RCTs) via a hybrid machine learning and crowdsourcing approach

Wallace, B. C., Noel-Storr, A., Marshall, I. J., Cohen, A. M., Smalheiser, N. R., & Thomas, J. (2017) · Journal of the American Medical Informatics Association

Meta-analysis and systematic reviewsBiomedical Text Mining and Ontologies

Cited by 186

Active learning for biomedical citation screening

Wallace, B. C., Small, K., Brodley, C. E., & Trikalinos, T. A. (2010) · Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining

Machine Learning and AlgorithmsMeta-analysis and systematic reviews

Cited by 123

Automating Biomedical Evidence Synthesis: RobotReviewer

Marshall, I., Kuiper, J., Banner, E., & Wallace, B. C. (2017) · Proceedings of ACL 2017, System Demonstrations

Meta-analysis and systematic reviewsBiomedical Text Mining and Ontologies

Cited by 96

Rapid reviews may produce different results to systematic reviews: a meta-epidemiological study

Marshall, I. J., Marshall, R., Wallace, B. C., Brassey, J., & Thomas, J. (2019) · Journal of Clinical Epidemiology

Meta-analysis and systematic reviewsDelphi Technique in Research

Cited by 95

Trialstreamer: A living, automatically updated database of clinical trial reports

Marshall, I. J., Nye, B., Kuiper, J., Noel-Storr, A., Marshall, R., Maclean, R., Soboczenski, F., Nenkova, A., Thomas, J., & Wallace, B. C. (2020) · Journal of the American Medical Informatics Association

Meta-analysis and systematic reviewsBiomedical Text Mining and Ontologies

Cited by 83

Paragraph-level Simplification of Medical Texts

Devaraj, A., Marshall, I., Wallace, B., & Li, J. J. (2021) · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Text Readability and SimplificationTopic Modeling

Cited by 79

Toward modernizing the systematic review pipeline in genetics: efficient updating via data mining

Wallace, B. C., Small, K., Brodley, C. E., Lau, J., Schmid, C. H., Bertram, L., Lill, C. M., Cohen, J. T., & Trikalinos, T. A. (2012) · Genetics in Medicine

Meta-analysis and systematic reviewsBiomedical Text Mining and Ontologies

Cited by 62

Automating Risk of Bias Assessment for Clinical Trials

Marshall, I. J., Kuiper, J., & Wallace, B. C. (2015) · IEEE Journal of Biomedical and Health Informatics

Meta-analysis and systematic reviewsBiomedical Text Mining and Ontologies

Cited by 59

A randomized trial provided new evidence on the accuracy and efficiency of traditional vs. electronically annotated abstraction approaches in systematic reviews

Li, T., Saldanha, I. J., Jap, J., Smith, B. T., Canner, J., Hutfless, S. M., Branch, V., Carini, S., Chan, W., de Bruijn, B., et al. (2019) · Journal of Clinical Epidemiology

Meta-analysis and systematic reviewsResearch Data Management Practices

Cited by 54

Machine learning to help researchers evaluate biases in clinical trials: a prospective, randomized user study

Soboczenski, F., Trikalinos, T. A., Kuiper, J., Bias, R. G., Wallace, B. C., & Marshall, I. J. (2019) · BMC Medical Informatics and Decision Making

Meta-analysis and systematic reviewsComputational and Text Analysis Methods

Cited by 53

Evidence inference 2.0: More data, better models.

DeYoung, J., Lehman, E., Nye, B., Marshall, I., & Wallace, B. C. (2020) · Proceedings of the 19th SIGBioMed Workshop on Biomedical Language Processing

Biomedical Text Mining and OntologiesTopic Modeling

Cited by 49