Cargando…

Concept libraries for automatic electronic health record based phenotyping: A review

INTRODUCTION: Electronic health records (EHR) are linked together to examine disease history and to undertake research into the causes and outcomes of disease. However, the process of constructing algorithms for phenotyping (e.g., identifying disease characteristics) or health characteristics (e.g.,...

Descripción completa

Detalles Bibliográficos
Autores principales:	Almowil, Zahra A, Zhou, Shang-Ming, Brophy, Sinead
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Swansea University 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8210840/ https://www.ncbi.nlm.nih.gov/pubmed/34189274 http://dx.doi.org/10.23889/ijpds.v6i1.1362

Ejemplares similares

Concept Libraries for Repeatable and Reusable Research: Qualitative Study Exploring the Needs of Users
por: Almowil, Zahra, et al.
Publicado: (2022)

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

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)

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)

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

Desiderata for the development of next-generation electronic health record phenotype libraries
por: Chapman, Martin, et al.
Publicado: (2021)

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)

Automatic infection detection based on electronic medical records
por: Tou, Huaixiao, et al.
Publicado: (2018)

Predictors of objectively measured physical activity in 12‐month‐old infants: A study of linked birth cohort data with electronic health records
por: Raza, Haider, et al.
Publicado: (2019)

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)

Next-generation phenotyping of electronic health records
por: Hripcsak, George, et al.
Publicado: (2013)

Automatic de-identification of textual documents in the electronic health record: a review of recent research
por: Meystre, Stephane M, et al.
Publicado: (2010)

Correlating electronic health record concepts with healthcare process events
por: Hripcsak, George, et al.
Publicado: (2013)

Automatic case cluster detection using hospital electronic health record data
por: DeWitt, Michael E, et al.
Publicado: (2023)

Prediction of Medical Concepts in Electronic Health Records: Similar Patient Analysis
por: Le, Nhat, et al.
Publicado: (2020)

Teaching Electronic Literacy: A Concepts-Based Approach for School Library Media Specialists
por: Craver, Kathleen W
Publicado: (1997)

The U.S. National Library of Medicine and standards for electronic health records: One thing led to another
por: McDonald, Clement J., et al.
Publicado: (2022)

Electronic Medical Record–Based Case Phenotyping for the Charlson Conditions: Scoping Review
por: Lee, Seungwon, et al.
Publicado: (2021)

A Modular Architecture for Electronic Health Record-Driven Phenotyping
por: Rasmussen, Luke V., et al.
Publicado: (2015)

The Effectiveness of Multitask Learning for Phenotyping with Electronic Health Records Data
por: Ding, Daisy Yi, et al.
Publicado: (2019)

Time-sensitive clinical concept embeddings learned from large electronic health records
por: Xiang, Yang, et al.
Publicado: (2019)

Evaluation of an Electronic Health Record Referral Process to Enhance Participation in Evidence-Based Arthritis Interventions
por: Spencer-Brown, Lesha E.K., et al.
Publicado: (2021)

Association of Diabetes in Pregnancy with Child Weight at Birth, Age 12 Months and 5 Years – A Population-Based Electronic Cohort Study
por: Morgan, Kelly, et al.
Publicado: (2013)

A review of approaches to identifying patient phenotype cohorts using electronic health records
por: Shivade, Chaitanya, et al.
Publicado: (2014)

Development and validation of a classification approach for extracting severity automatically from electronic health records
por: Boland, Mary Regina, et al.
Publicado: (2015)

Comparative analysis, applications, and interpretation of electronic health record-based stroke phenotyping methods
por: Thangaraj, Phyllis M., et al.
Publicado: (2020)

Ethics and the Electronic Health Record: Description of An Integrating System of Electronic Health Records in Argentina and a Proposal to Shift Towards a Patient-Centered Conception
por: Verona, Julián
Publicado: (2020)

Design and Pilot Implementation of an Electronic Health Record-Based System to Automatically Refer Cancer Patients to Tobacco Use Treatment
por: Jose, Thulasee, et al.
Publicado: (2020)

Desiderata for computable representations of electronic health records-driven phenotype algorithms
por: Mo, Huan, et al.
Publicado: (2015)

Developing Phenotypes from Electronic Health Records for Chronic Disease Surveillance
por: Conderino, Sarah, et al.
Publicado: (2019)

Linking Genomic Data with Phenotypes Derived from Electronic Health Records
por: Appleby, Phil
Publicado: (2017)

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)

A comparative study of different methods for automatic identification of clopidogrel-induced bleedings in electronic health records
por: Lee, Hee-Jin, et al.
Publicado: (2017)

DDxNet: a deep learning model for automatic interpretation of electronic health records, electrocardiograms and electroencephalograms
por: Thiagarajan, Jayaraman J., et al.
Publicado: (2020)

Automatic Detection of Hypoglycemic Events From the Electronic Health Record Notes of Diabetes Patients: Empirical Study
por: Jin, Yonghao, et al.
Publicado: (2019)

SNOMED CT Concept Hierarchies for Computable Clinical Phenotypes From Electronic Health Record Data: Comparison of Intensional Versus Extensional Value Sets
por: Chu, Ling, et al.
Publicado: (2019)

Automatic Prediction of Rheumatoid Arthritis Disease Activity from the Electronic Medical Records
por: Lin, Chen, et al.
Publicado: (2013)

Linking cohort-based data with electronic health records: a proof-of-concept methodological study in Hong Kong
por: Gao, Le, et al.
Publicado: (2021)

Measuring library performance: principles and techniques
por: Brophy, Peter
Publicado: (2006)

Cannot write session to /tmp/vufind_sessions/sess_207dhju1s3h6ausnh1u0r64uv0