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Angus Roberts

Department of Biostatistics and Health Informatics,
Institute of Psychiatry,
Psychology and Neuroscience,
Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience

King's College London

BIOGRAPHY

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PUBLICATIONS

Development and evaluation of a de-identification procedure for a case register sourced from mental health electronic records.

BMC medical informatics and decision making , 2013 | Pubmed ID: 23842533

Extracting antipsychotic polypharmacy data from electronic health records: developing and evaluating a novel process.

BMC psychiatry Jul, 2015 | Pubmed ID: 26198696

Negative symptoms in schizophrenia: a study in a large clinical sample of patients using a novel automated method.

BMJ open Sep, 2015 | Pubmed ID: 26346872

Natural language processing to extract symptoms of severe mental illness from clinical text: the Clinical Record Interactive Search Comprehensive Data Extraction (CRIS-CODE) project.

BMJ open 01, 2017 | Pubmed ID: 28096249

SemEHR: A general-purpose semantic search system to surface semantic data from clinical notes for tailored care, trial recruitment, and clinical research.

Journal of the American Medical Informatics Association : JAMIA 05, 2018 | Pubmed ID: 29361077

CogStack - experiences of deploying integrated information retrieval and extraction services in a large National Health Service Foundation Trust hospital.

BMC medical informatics and decision making 06, 2018 | Pubmed ID: 29941004

Using clinical Natural Language Processing for health outcomes research: Overview and actionable suggestions for future advances.

Journal of biomedical informatics 12, 2018 | Pubmed ID: 30368002

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.

BMJ open 04, 2019 | Pubmed ID: 30940752

Text Classification to Inform Suicide Risk Assessment in Electronic Health Records.

Studies in health technology and informatics Aug, 2019 | Pubmed ID: 31437881

INSTITUTIONS

King's College London

South London and Maudsley National Health Service (NHS) Foundation Trust

JOVE ARTICLES

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Tao Wang¹,

Dominic Oliver²,

Yamiko Msosa¹,

Craig Colling³,

Giulia Spada²,

Łukasz Roguski⁴,

Amos Folarin¹,

Robert Stewart^3,5,

Angus Roberts^1,3,

Richard J. B. Dobson^1,3,4,6,

Paolo Fusar-Poli^2,3,7,8

¹Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London,

²Early Psychosis: Interventions and Clinical-detection (EPIC) lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London,

³National Institute for Health Research, Maudsley Biomedical Research Centre, South London and Maudsley National Health Service (NHS) Foundation Trust,

⁴Institute of Health Informatics, University College London,

⁵Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London,

⁶Health Data Research UK London, University College London,

⁷OASIS service, South London and Maudsley National Health Service (NHS) Foundation Trust,

⁸Department of Brain and Behavioral Sciences, University of Pavia

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Angus Roberts

.css-o250i3{font-size:18px;font-family:Open Sans,sans-serif;line-height:21.6px;}Department of Biostatistics and Health Informatics,Institute of Psychiatry,Psychology and Neuroscience,Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience

King's College London

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Department of Biostatistics and Health Informatics,
Institute of Psychiatry,
Psychology and Neuroscience,
Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience