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20192025
most citedDischarge Summary Hospital Course Summarisation of In Patient Electronic Health Record Text with Clinical Concept Guided Deep Pre-Trained Transformer Models

50 citations · 134 across the 9 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

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…

cs.LG2020★ 25 cited

Experimental Evaluation and Development of a Silver-Standard for the MIMIC-III Clinical Coding Dataset

Thomas Searle, Zina Ibrahim, Richard JB Dobson

Clinical coding is currently a labour-intensive, error-prone, but critical administrative process whereby hospital patient episodes are manually assigned codes by qualified staff f…

cs.LG2020★ 2 cited

Comparing Natural Language Processing Techniques for Alzheimer's Dementia Prediction in Spontaneous Speech

Thomas Searle, Zina Ibrahim, Richard Dobson

Alzheimer's Dementia (AD) is an incurable, debilitating, and progressive neurodegenerative condition that affects cognitive function. Early diagnosis is important as therapeutics c…

cs.CL2020★ 1 cited

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

Rebecca Bendayan, Honghan Wu, Zeljko Kraljevic +9

Multimorbidity research in mental health services requires data from physical health conditions which is traditionally limited in mental health care electronic health records. In t…