Journal Publications

Telemachus 

Overview  A project between Oxford Health NHS Foundation Trust, Southern Health NHS Foundation Trust, the University of Oxford and Akrivia Health. The aim is to investigate the impact of the COVID pandemic on mental health services. We look at the…

An efficient representation of chronological events in medical texts

Abstract In this work, we addressed the problem of capturing sequential information contained in longitudinal electronic health records (EHRs). Clinical notes, which is a particular type of EHR data, are a rich source of information and practitioners often develop clever…

Med7

Abstract The field of clinical natural language processing has been advanced significantly since the introduction of deep learning models. The self-supervised representation learning and the transfer learning paradigm became the methods of choice in many natural language processing application, in…

NLP for structuring clinical text

Background Utilisation of routinely collected electronic health records from secondary care offers unprecedented possibilities for medical science research but can also present difficulties. One key issue is that medical information is presented as free-form text and, therefore, requires time commitment…

A Southern Health OPMH CRIS Audit

Abstract Background: Antipsychotic prescription in older people with mental health problems can have severe adverse effects such as an increased risk of falls and show higher mortality rates. Moreover, this risk is elevated for the elderly with dementia. Aims: To…

Named Entity Recognition

Abstract   Neural networks (NNs) have become the state of the art in many machine learning applications, such as image, sound (LeCun et al., 2015) and natural language processing (Young et al., 2017; Linggard et al., 2012). However, the success…

Maximizing the use of social and behavioural information

Highlights Precision medicine will require better data sources of social and behavioural data. Most structured social and behavioural data fields from EHR data are inadequate. NLP of unstructured EHR text could yield a chronological timeline of rich data. Social and…

Automatic Mining of Symptom Severity from Psychiatric Evaluation Notes.

Abstract Objectives: As electronic mental health records become more widely available, several approaches have been suggested to automatically extract information from free‐text narrative aiming to support epidemiological research and clinical decision‐making. In this paper, we explore extraction of explicit mentions…