activity
20182021
most citedMedCAT -- Medical Concept Annotation Tool

18 citations · 28 across the 7 of their papers we have counts for

collaborators

14 papers

cs.IR2021

Deployment of a Free-Text Analytics Platform at a UK National Health Service Research Hospital: CogStack at University College London Hospitals

Kawsar Noor, Lukasz Roguski, Alex Handy +9

As more healthcare organisations transition to using electronic health record (EHR) systems it is important for these organisations to maximise the secondary use of their data to s…

cs.CL20215 cited

MedGPT: Medical Concept Prediction from Clinical Narratives

Zeljko Kraljevic, Anthony Shek, Daniel Bean +3

The data available in Electronic Health Records (EHRs) provides the opportunity to transform care, and the best way to provide better care for one patient is through learning from…

cs.LG2020

A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records Data

Zina M Ibrahim, Daniel Bean, Thomas Searle +7

The ability to perform accurate prognosis of patients is crucial for proactive clinical decision making, informed resource management and personalised care. Existing outcome predic…

cs.CL2020

Multi-domain Clinical Natural Language Processing with MedCAT: the Medical Concept Annotation Toolkit

Zeljko Kraljevic, Thomas Searle, Anthony Shek +15

Electronic health records (EHR) contain large volumes of unstructured text, requiring the application of Information Extraction (IE) technologies to enable clinical analysis. We pr…

physics.soc-ph2020

Measuring the effect of Non-Pharmaceutical Interventions (NPIs) on mobility during the COVID-19 pandemic using global mobility data

Berber T Snoeijer, Mariska Burger, Shaoxiong Sun +2

The implementation of governmental Non-Pharmaceutical Interventions (NPIs) has been the primary means of controlling the spread of the COVID-19 disease. The intended effect of thes…

cs.CL2020

Comparative Analysis of Text Classification Approaches in Electronic Health Records

Aurelie Mascio, Zeljko Kraljevic, Daniel Bean +4

Text classification tasks which aim at harvesting and/or organizing information from electronic health records are pivotal to support clinical and translational research. However t…