Cargando…

Mining Primary Care Electronic Health Records for Automatic Disease Phenotyping: A Transparent Machine Learning Framework

(1) Background: We aimed to develop a transparent machine-learning (ML) framework to automatically identify patients with a condition from electronic health records (EHRs) via a parsimonious set of features. (2) Methods: We linked multiple sources of EHRs, including 917,496,869 primary care records...

Descripción completa

Detalles Bibliográficos
Autores principales:	Fernández-Gutiérrez, Fabiola, Kennedy, Jonathan I., Cooksey, Roxanne, Atkinson, Mark, Choy, Ernest, Brophy, Sinead, Huo, Lin, Zhou, Shang-Ming
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8534858/ https://www.ncbi.nlm.nih.gov/pubmed/34679609 http://dx.doi.org/10.3390/diagnostics11101908

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)

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)

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

Defining Disease Phenotypes in Primary Care Electronic Health Records by a Machine Learning Approach: A Case Study in Identifying Rheumatoid Arthritis
por: Zhou, Shang-Ming, et al.
Publicado: (2016)

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)

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

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)

Predicting Hospital Readmission for Campylobacteriosis from Electronic Health Records: A Machine Learning and Text Mining Perspective
por: Zhou, Shang-Ming, et al.
Publicado: (2022)

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

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)

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)

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

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)

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)

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)

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)

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)

Machine Learning for Automatic Prediction of the Quality of Electrophysiological Recordings
por: Nowotny, Thomas, et al.
Publicado: (2013)

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

MOF Synthesis Prediction Enabled by Automatic Data Mining and Machine Learning
por: Luo, Yi, et al.
Publicado: (2022)

Population based absolute and relative survival to 1 year of people with diabetes following a myocardial infarction: A cohort study using hospital admissions data
por: Brophy, Sinead, et al.
Publicado: (2010)

Health checks for adults with intellectual disability and association with survival rates: a linked electronic records matched cohort study in Wales, UK
por: Kennedy, Natasha, et al.
Publicado: (2022)

Using the RECORD guidelines to improve transparent reporting of studies based on routinely collected data
por: Harron, Katie, et al.
Publicado: (2018)

Curriculum-based outdoor learning for children aged 9-11: A qualitative analysis of pupils’ and teachers’ views
por: Marchant, Emily, et al.
Publicado: (2019)

Transparent data mining for big and small data
por: Cerquitelli, Tania, et al.
Publicado: (2017)

Data-driven drug safety signal detection methods in pharmacovigilance using electronic primary care records: A population based study
por: Zhou, Shang-Ming, et al.
Publicado: (2017)

Automatic transparency evaluation for open knowledge extraction systems
por: Basereh, Maryam, et al.
Publicado: (2023)

Principles and Theory for Data Mining and Machine Learning
por: Clarke, Bertrand, et al.
Publicado: (2009)

Characteristics of Children Prescribed Antipsychotics: Analysis of Routinely Collected Data
por: Brophy, Sinead, et al.
Publicado: (2018)

The Transparent Prolog machine : visualizing logic problems
por: Eisenstadt, Marc, 1947-
Publicado: (1991)

Automatic Classification for Cognitive Engagement in Online Discussion Forums: Text Mining and Machine Learning Approach
por: Hayati, Hind, et al.
Publicado: (2020)

Metal–Organic Framework for Transparent Electronics
por: Wu, Jie, et al.
Publicado: (2020)

Mining open datasets for transparency in taxi transport in metropolitan environments
por: Noulas, Anastasios, et al.
Publicado: (2015)

Cannot write session to /tmp/vufind_sessions/sess_p3p9unbg5nootro33jqgrn6949