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PLoS computational biology, 2013-02, Vol.9 (2), p.e1002854-e1002854

2013

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Distributions of recorded pain in mental health records: a natural language processing based study

BMJ open, 2024-04, Vol.14 (4), p.e079923

2024

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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, 2017-01, Vol.7 (1), p.e012012-e012012

2017

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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, 2018-06, Vol.18 (1), p.47-47, Article 47

2018

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Can natural language processing models extract and classify instances of interpersonal violence in mental healthcare electronic records: an applied evaluative study

BMJ open, 2022-02, Vol.12 (2), p.e052911-e052911

2022

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Ferritinophagy and α-Synuclein: Pharmacological Targeting of Autophagy to Restore Iron Regulation in Parkinson's Disease

International journal of molecular sciences, 2022-02, Vol.23 (4), p.2378

2022

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Identifying features of risk periods for suicide attempts using document frequency and language use in electronic health records

Frontiers in psychiatry, 2023-12, Vol.14, p.1217649-1217649

2023

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

BMJ open, 2015-09, Vol.5 (9), p.e007619-e007619

2015

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Investigating the association between physical health comorbidities and disability in individuals with severe mental illness

European psychiatry, 2021-11, Vol.64 (1), p.e77-e77, Article e77

2021

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Development of a Corpus Annotated With Mentions of Pain in Mental Health Records: Natural Language Processing Approach

JMIR formative research, 2023-06, Vol.7, p.e45849-e45849

2023

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An implementation framework and a feasibility evaluation of a clinical decision support system for diabetes management in secondary mental healthcare using CogStack

BMC medical informatics and decision making, 2022-04, Vol.22 (1), p.100-100, Article 100

2022

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Identifying encephalopathy in patients admitted to an intensive care unit: Going beyond structured information using natural language processing

Frontiers in digital health, 2023-01, Vol.5, p.1085602-1085602

2023

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Development of a Lexicon for Pain

Frontiers in digital health, 2021-12, Vol.3, p.778305-778305

2021

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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

BMJ open, 2021-03, Vol.11 (3), p.e042274-e042274

2021

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Mapping multimorbidity in individuals with schizophrenia and bipolar disorders: evidence from the South London and Maudsley NHS Foundation Trust Biomedical Research Centre (SLAM BRC) case register

BMJ open, 2022-01, Vol.12 (1), p.e054414-e054414

2022

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Generation and evaluation of artificial mental health records for Natural Language Processing

NPJ digital medicine, 2020-05, Vol.3 (1), p.69-69, Article 69

2020

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Evaluating physical urban features in several mental illnesses using electronic health record data

Frontiers in digital health, 2022-09, Vol.4, p.874237

2022

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

BMC psychiatry, 2015-07, Vol.15 (1), p.166-166, Article 166

2015

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Understanding Views Around the Creation of a Consented, Donated Databank of Clinical Free Text to Develop and Train Natural Language Processing Models for Research: Focus Group Interviews With Stakeholders

JMIR medical informatics, 2023-05, Vol.11, p.e45534-e45534

2023

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A survey on clinical natural language processing in the United Kingdom from 2007 to 2022

NPJ digital medicine, 2022-12, Vol.5 (1), p.186-186, Article 186

2022

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Implementation of an Electronic Clinical Decision Support System for the Early Recognition and Management of Dysglycemia in an Inpatient Mental Health Setting Using CogStack: Protocol for a Pilot Hybrid Type 3 Effectiveness-Implementation Randomized Controlled Cluster Trial

JMIR research protocols, 2024-04, Vol.13, p.e49548-e49548

2024

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Cognitive Impairments in Schizophrenia: A Study in a Large Clinical Sample Using Natural Language Processing

Frontiers in digital health, 2021-07, Vol.3, p.711941-711941

2021

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Language, Structure, and Reuse in the Electronic Health Record

AMA journal of ethics, 2017-03, Vol.19 (3), p.281

Roberts, Angus

2017

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Natural language processing - relevance to patient outcomes and real-world evidence

Expert review of pharmacoeconomics & outcomes research, 2024, Vol.24 (1), p.5-9

2024

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Using prior information from the medical literature in GWAS of oral cancer identifies novel susceptibility variant on chromosome 4--the AdAPT method

PloS one, 2012-05, Vol.7 (5), p.e36888-e36888

2012

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Getting more out of biomedical documents with GATE's full lifecycle open source text analytics

Distributions of recorded pain in mental health records: a natural language processing based study

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

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

Can natural language processing models extract and classify instances of interpersonal violence in mental healthcare electronic records: an applied evaluative study

Ferritinophagy and α-Synuclein: Pharmacological Targeting of Autophagy to Restore Iron Regulation in Parkinson's Disease

Identifying features of risk periods for suicide attempts using document frequency and language use in electronic health records

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

Investigating the association between physical health comorbidities and disability in individuals with severe mental illness

Development of a Corpus Annotated With Mentions of Pain in Mental Health Records: Natural Language Processing Approach

An implementation framework and a feasibility evaluation of a clinical decision support system for diabetes management in secondary mental healthcare using CogStack

Identifying encephalopathy in patients admitted to an intensive care unit: Going beyond structured information using natural language processing

Development of a Lexicon for Pain

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

Mapping multimorbidity in individuals with schizophrenia and bipolar disorders: evidence from the South London and Maudsley NHS Foundation Trust Biomedical Research Centre (SLAM BRC) case register

Generation and evaluation of artificial mental health records for Natural Language Processing

Evaluating physical urban features in several mental illnesses using electronic health record data

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

Understanding Views Around the Creation of a Consented, Donated Databank of Clinical Free Text to Develop and Train Natural Language Processing Models for Research: Focus Group Interviews With Stakeholders

A survey on clinical natural language processing in the United Kingdom from 2007 to 2022

Implementation of an Electronic Clinical Decision Support System for the Early Recognition and Management of Dysglycemia in an Inpatient Mental Health Setting Using CogStack: Protocol for a Pilot Hybrid Type 3 Effectiveness-Implementation Randomized Controlled Cluster Trial

Cognitive Impairments in Schizophrenia: A Study in a Large Clinical Sample Using Natural Language Processing

Language, Structure, and Reuse in the Electronic Health Record

Natural language processing - relevance to patient outcomes and real-world evidence

Using prior information from the medical literature in GWAS of oral cancer identifies novel susceptibility variant on chromosome 4--the AdAPT method

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