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.
- Evaluating Physical Urban Features in Psychotic Disorders using Electronic Health Record Data
- Combining Cox Model and Tree-Based Algorithms to Boost Performance and Preserve Interpretability for Health Outcomes
- An implementation framework and a feasibility evaluation of a clinical decision support system for diabetes management in secondary mental healthcare using CogStack
- Patient-centric characterization of multimorbidity trajectories in patients with severe mental illnesses: A temporal bipartite network modeling approach