Comparative Analysis of Text Classification Approaches in Electronic Health Records

May 08, 2020
Aurelie Mascio, Zeljko Kraljevic, Daniel Bean, Richard Dobson, Robert Stewart, Rebecca Bendayan, Angus Roberts


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Modeling Rare Interactions in Time Series Data Through Qualitative Change: Application to Outcome Prediction in Intensive Care Units

Apr 03, 2020
Zina Ibrahim, Honghan Wu, Richard Dobson

* 8 pages, 3 figures. Accepted for publication in the European Conference of Artificial Intelligence (ECAI 2020) 

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Identifying physical health comorbidities in a cohort of individuals with severe mental illness: An application of SemEHR

Feb 07, 2020
Rebecca Bendayan, Honghan Wu, Zeljko Kraljevic, Robert Stewart, Tom Searle, Jaya Chaturvedi, Jayati Das-Munshi, Zina Ibrahim, Aurelie Mascio, Angus Roberts, Daniel Bean, Richard Dobson

* 4 pages, 2 tables 

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MedCAT -- Medical Concept Annotation Tool

Dec 18, 2019
Zeljko Kraljevic, Daniel Bean, Aurelie Mascio, Lukasz Roguski, Amos Folarin, Angus Roberts, Rebecca Bendayan, Richard Dobson

* Preprint, 25 pages, 5 figures and 4 tables 

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On Classifying Sepsis Heterogeneity in the ICU: Insight Using Machine Learning

Dec 03, 2019
Zina Ibrahim, Honghan Wu, Ahmed Hamoud, Lukas Stappen, Richard Dobson, Andrea Agarossi

* 3 Figures and 2 tables. Accepted for publication at the Journal of American Medical Informatics Association 

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MedCATTrainer: A Biomedical Free Text Annotation Interface with Active Learning and Research Use Case Specific Customisation

Jul 16, 2019
Thomas Searle, Zeljko Kraljevic, Rebecca Bendayan, Daniel Bean, Richard Dobson


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Application of Clinical Concept Embeddings for Heart Failure Prediction in UK EHR data

Nov 28, 2018
Spiros Denaxas, Pontus Stenetorp, Sebastian Riedel, Maria Pikoula, Richard Dobson, Harry Hemingway

* Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:1811.07216 

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