Angus Roberts joined the Biostatistics and Health Informatics department at King’s College London as a Senior Lecturer in Health Informatics in January 2018. Angus trained and worked as a Biomedical Scientist in the NHS before switching careers to computer science, and subsequently working as an NHS software developer. This led to an interest in the electronic health record, medical knowledge representation and medical terminology. He quickly realised that if we want to analyse and reuse the electronic health record (EHR), we have to tackle the fact that they are predominantly textual, and so completed a PhD in natural language processing (NLP) at the University of Sheffield, where he went on to lead life science work for GATE, a widely used open source NLP framework. He currently researches many aspects of NLP applied to the EHR, and the infrastructures needed to support this.
- Generation and evaluation of artificial mental health records for Natural Language Processing
- Text-mining occupations from the mental health electronic health record: a natural language processing approach using records from the Clinical Record Interactive Search (CRIS) platform in south London, UK.
- Cognitive trajectories in comorbid dementia with schizophrenia or bipolar disorder: the South London and Maudsley NHS Foundation Trust Biomedical Research Centre (SLAM BRC) Case Register
- User Perspectives of Mood-Monitoring Apps Available to Young People: Qualitative Content Analysis
- A Qualitative Content Analysis of User Perspectives of Mood-Monitoring Apps Available to Young People.