Cargando…

Defining Disease Phenotypes in Primary Care Electronic Health Records by a Machine Learning Approach: A Case Study in Identifying Rheumatoid Arthritis

OBJECTIVES: 1) To use data-driven method to examine clinical codes (risk factors) of a medical condition in primary care electronic health records (EHRs) that can accurately predict a diagnosis of the condition in secondary care EHRs. 2) To develop and validate a disease phenotyping algorithm for rh...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhou, Shang-Ming, Fernandez-Gutierrez, Fabiola, Kennedy, Jonathan, Cooksey, Roxanne, Atkinson, Mark, Denaxas, Spiros, Siebert, Stefan, Dixon, William G., O’Neill, Terence W., Choy, Ernest, Sudlow, Cathie, Brophy, Sinead
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2016
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4852928/ https://www.ncbi.nlm.nih.gov/pubmed/27135409 http://dx.doi.org/10.1371/journal.pone.0154515

Ejemplares similares

Development of data-driven framework for automatically identifying patient cohorts from linked electronic health records
por: Fern'andez-Guti'errez, Fabiola, et al.
Publicado: (2017)

Predicting a diagnosis of ankylosing spondylitis using primary care health records–A machine learning approach
por: Kennedy, Jonathan, et al.
Publicado: (2023)

Mining Primary Care Electronic Health Records for Automatic Disease Phenotyping: A Transparent Machine Learning Framework
por: Fernández-Gutiérrez, Fabiola, et al.
Publicado: (2021)

Real-world use of an etanercept biosimilar including selective versus automatic substitution in inflammatory arthritis patients: a UK-based electronic health records study
por: Cooksey, Roxanne, et al.
Publicado: (2022)

Shielding reduced incidence of COVID-19 in patients with inflammatory arthritis but vulnerability is associated with increased mortality
por: Cooksey, Roxanne, et al.
Publicado: (2022)

Biologic use in psoriatic arthritis and ankylosing spondylitis patients: a descriptive epidemiological study using linked, routine data in Wales, UK
por: Cooksey, Roxanne, et al.
Publicado: (2021)

The effect of physical activity and motivation on function in ankylosing spondylitis: A cohort study
por: Brophy, Sinead, et al.
Publicado: (2013)

Impact of mindfulness for people with arthritis
por: Brophy, Sinead, et al.
Publicado: (2017)

The coding of telephone consultations in UK primary care databases: are we picking up all the calls?
por: Atkinson, Mark D, et al.
Publicado: (2023)

Patient perspectives of managing fatigue in Ankylosing Spondylitis, and views on potential interventions: a qualitative study
por: Davies, Helen, et al.
Publicado: (2013)

The information needs of people living with ankylosing spondylitis: a questionnaire survey
por: Cooksey, Roxanne, et al.
Publicado: (2012)

HERALD (Health Economics using Routine Anonymised Linked Data)
por: Husain, Muhammad J, et al.
Publicado: (2011)

HERALD (Health Economics using Routine Anonymised Linked Data)
por: Husain, Muhammad J, et al.
Publicado: (2012)

The Cost of Ankylosing Spondylitis in the UK Using Linked Routine and Patient-Reported Survey Data
por: Cooksey, Roxanne, et al.
Publicado: (2015)

Frequency and characteristics of disease flares in ankylosing spondylitis
por: Cooksey, Roxanne, et al.
Publicado: (2010)

Mixed-methods evaluation comparing the impact of two different mindfulness approaches on stress, anxiety and depression in school teachers
por: Todd, Charlotte, et al.
Publicado: (2019)

Identification and validation of myocardial infarction and stroke outcomes at scale in UK Biobank
por: Schnier, Christian, et al.
Publicado: (2017)

Proton pump inhibitors and dementia risk: Evidence from a cohort study using linked routinely collected national health data in Wales, UK
por: Cooksey, Roxanne, et al.
Publicado: (2020)

Algorithms for the Capture and Adjudication of Prevalent and Incident Diabetes in UK Biobank
por: Eastwood, Sophie V, et al.
Publicado: (2016)

Generation Scotland - Using Electronic Health Records for Research.
por: Campbell, Archie, et al.
Publicado: (2022)

A novel metadata management model to capture consent for record linkage in longitudinal research studies
por: McMahon, Christiana, et al.
Publicado: (2017)

UK phenomics platform for developing and validating electronic health record phenotypes: CALIBER
por: Denaxas, Spiros, et al.
Publicado: (2019)

Parental factors associated with walking to school and participation in organised activities at age 5: Analysis of the Millennium Cohort Study
por: Brophy, Sinead, et al.
Publicado: (2011)

Risk factors for childhood obesity at age 5: Analysis of the Millennium Cohort Study
por: Brophy, Sinead, et al.
Publicado: (2009)

Reproducible disease phenotyping at scale: Example of coronary artery disease in UK Biobank
por: Patel, Riyaz S., et al.
Publicado: (2022)

Challenges of linking to routine healthcare records in UK Biobank
por: Adamska, Ligia, et al.
Publicado: (2015)

Defining Disease Phenotypes Using National Linked Electronic Health Records: A Case Study of Atrial Fibrillation
por: Morley, Katherine I., et al.
Publicado: (2014)

The utility of historical electoral roll records and their effect on the association of regularity of GP contact and potentially preventable diabetic hospitalisations
por: Brophy, Sinead, et al.
Publicado: (2017)

Harmonising electronic health records for reproducible research: challenges, solutions and recommendations from a UK-wide COVID-19 research collaboration
por: Abbasizanjani, Hoda, et al.
Publicado: (2023)

A novel myeloid cell in murine spleen defined through gene profiling
por: Hey, Ying‐Ying, et al.
Publicado: (2019)

Diagnosed prevalence of Ehlers-Danlos syndrome and hypermobility spectrum disorder in Wales, UK: a national electronic cohort study and case–control comparison
por: Demmler, Joanne C, et al.
Publicado: (2019)

The tip of the iceberg: challenges of accessing hospital electronic health record data for biological data mining
por: Denaxas, Spiros C., et al.
Publicado: (2016)

Comparison of dementia recorded in routinely collected hospital admission data in England with dementia recorded in primary care
por: Brown, Anna, et al.
Publicado: (2016)

Concept libraries for automatic electronic health record based phenotyping: A review
por: Almowil, Zahra A, et al.
Publicado: (2021)

Development of an algorithm for determining smoking status and behaviour over the life course from UK electronic primary care records
por: Atkinson, Mark D., et al.
Publicado: (2017)

Comparing a primary care dataset with a questionnaire based health survey
por: Atkinson, Mark, et al.
Publicado: (2017)

Accuracy of Electronic Health Record Data for Identifying Stroke Cases in Large-Scale Epidemiological Studies: A Systematic Review from the UK Biobank Stroke Outcomes Group
por: Woodfield, Rebecca, et al.
Publicado: (2015)

Identifying and evaluating clinical subtypes of Alzheimer’s disease in care electronic health records using unsupervised machine learning
por: Alexander, Nonie, et al.
Publicado: (2021)

Selective recruitment designs for improving observational studies using electronic health records
por: Barrett, James E., et al.
Publicado: (2020)

Healthcare use attributable to COVID-19: a propensity-matched national electronic health records cohort study of 249,390 people in Wales, UK
por: Kennedy , J, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_pjqcnltppf4c3supc463irrl8g