CogStack

2020

Bean, Dan et al. (2020) “Treatment with ACE-inhibitors is associated with less severe disease with SARS-Covid-19 infection in a multi-site UK acute Hospital Trust.” https://doi.org/10.13140/RG.2.2.34883.14889

2019

Kraljevic, Zeljko, et al. “MedCAT–Medical Concept Annotation Tool.” arXiv preprint arXiv:1912.10166 (2019). https://arxiv.org/abs/1912.10166

Bean, Daniel M., et al. “Semantic computational analysis of anticoagulation use in atrial fibrillation from real world data.” PloS one 14.11 (2019). https://doi.org/10.1371/journal.pone.0225625

Tissot, Hegler, et al. “Natural Language Processing for Mimicking Clinical Trial Recruitment in Critical Care: A Semi-automated Simulation Based on the LeoPARDS Trial.” medRxiv (2019): 19005603. https://doi.org/10.1101/19005603

Searle, Thomas, et al. “MedCATTrainer: A Biomedical Free Text Annotation Interface with Active Learning and Research Use Case Specific Customisation.” arXiv preprint arXiv:1907.07322 (2019). https://arxiv.org/abs/1907.07322

2018

Jackson, Richard, et al. “CogStack-experiences of deploying integrated information retrieval and extraction services in a large National Health Service Foundation Trust hospital.” BMC medical informatics and decision making 18.1 (2018): 47. https://doi.org/10.1186/s12911-018-0623-9

Wu, Honghan, et al. “SemEHR: A general-purpose semantic search system to surface semantic data from clinical notes for tailored care, trial recruitment, and clinical research.” Journal of the American Medical Informatics Association 25.5 (2018): 530-537. https://doi.org/10.1093/jamia/ocx160

2017

Wu, Honghan, et al. “SemEHR: surfacing semantic data from clinical notes in electronic health records for tailored care, trial recruitment, and clinical research.” The Lancet 390 (2017): S97. https://doi.org/10.1016/S0140-6736(17)33032-5

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