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.
- Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
- Normalisation of imprecise temporal expressions extracted from text
- A real-time psychosis risk detection and alerting system based on electronic health records using CogStack
- Text Classification to Inform Suicide Risk Assessment in Electronic Health Records
- Using natural language processing to extract structured epilepsy data from unstructured clinic letters: Development and validation of the ExECT (extraction of epilepsy clinical text) system