Iain Marshall
Iain Marshall
MRC Skills Development Fellow in Health Informatics
Verified email at kcl.ac.uk - Homepage
Cited by
Cited by
Lay perspectives on hypertension and drug adherence: systematic review of qualitative research
IJ Marshall, CDA Wolfe, C McKevitt
Bmj 345, 2012
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
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
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
RobotReviewer: Evaluation of a System for Automatically Assessing Bias in Clinical Trials
IJ Marshall, J Kuiper, BC Wallace
JAMIA, 2015
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
Extracting PICO sentences from clinical trial reports using supervised distant supervision
BC Wallace, J Kuiper, A Sharma, M Zhu, IJ Marshall
The Journal of Machine Learning Research 17 (1), 4572-4596, 2016
Living systematic reviews: 4. Living guideline recommendations
EA Akl, JJ Meerpohl, J Elliott, LA Kahale, HJ SchŁnemann, T Agoritsas, ...
Journal of clinical epidemiology 91, 47-53, 2017
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
Toward systematic review automation: a practical guide to using machine learning tools in research synthesis
IJ Marshall, BC Wallace
Systematic reviews 8 (1), 1-10, 2019
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
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
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
Automating risk of bias assessment for clinical trials
IJ Marshall, J Kuiper, BC Wallace
IEEE journal of biomedical and health informatics 19 (4), 1406-1412, 2015
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
Automating biomedical evidence synthesis: RobotReviewer
IJ Marshall, J Kuiper, E Banner, BC Wallace
Proceedings of the conference. Association for Computational Linguistics†…, 2017
Trends in risk factor prevalence and management before first stroke: data from the South London Stroke Register 1995–2011
IJ Marshall, Y Wang, C McKevitt, AG Rudd, CDA Wolfe
Stroke 44 (7), 1809-1816, 2013
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
Crowdsourcing information extraction for biomedical systematic reviews
Y Sun, P Cheng, S Wang, H Lyu, M Lease, I Marshall, BC Wallace
arXiv preprint arXiv:1609.01017, 2016
Learning disentangled representations of texts with application to biomedical abstracts
S Jain, E Banner, JW van de Meent, IJ Marshall, BC Wallace
arXiv preprint arXiv:1804.07212, 2018
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