Recherche
Enseignement
Solutions
S'identifier
FR
EN - English
CN - 中文
DE - Deutsch
ES - Español
KR - 한국어
IT - Italiano
FR - Français
PT - Português
TR - Turkish
JA - Japanese
Department of Biostatistics and Health Informatics,
Institute of Psychiatry,
Psychology and Neuroscience,
Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience
Angus Roberts has not added Biography.
If you are Angus Roberts and would like to personalize this page please email our Author Liaison for assistance.
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
King's College London
South London and Maudsley National Health Service (NHS) Foundation Trust
Tao Wang1,
Dominic Oliver2,
Yamiko Msosa1,
Craig Colling3,
Giulia Spada2,
Łukasz Roguski4,
Amos Folarin1,
Robert Stewart3,5,
Angus Roberts1,3,
Richard J. B. Dobson1,3,4,6,
Paolo Fusar-Poli2,3,7,8
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
Confidentialité
Conditions d'utilisation
Politiques
Contactez-nous
RECOMMANDER À LA BIBLIOTHÈQUE
NEWSLETTERS JoVE
JoVE Journal
Collections de méthodes
JoVE Encyclopedia of Experiments
Archives
JoVE Core
JoVE Business
JoVE Science Education
JoVE Lab Manual
Centre de ressources universitaires
Auteurs
Bibliothécaires
Accès
À PROPOS DE JoVE
Copyright © 2024 MyJoVE Corporation. Tous droits réservés.