Cargando…

Linking Genomic Data with Phenotypes Derived from Electronic Health Records

Detalles Bibliográficos
Autor principal:	Appleby, Phil
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Swansea University 2017
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8480646/ http://dx.doi.org/10.23889/ijpds.v1i1.173

Ejemplares similares

Mining Electronic Health Records using Linked Data
por: Odgers, David J., et al.
Publicado: (2015)

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

Using phenotypic data from the Electronic Health Record (EHR) to predict discharge
por: Bhatia, Monisha C., et al.
Publicado: (2023)

Developing a linked electronic health record derived data platform to support research into healthy ageing
por: Andrew, Nadine E., et al.
Publicado: (2023)

The National Centre for Healthy Ageing data platform: establishing an Electronic Health Record derived linked geographic cohort.
por: Andrew, Nadine, et al.
Publicado: (2022)

Validation of an Internationally Derived Patient Severity Phenotype to Support COVID-19 Analytics from Electronic Health Record Data
por: Klann, Jeffrey G, et al.
Publicado: (2021)

Data-driven discovery of seasonally linked diseases from an Electronic Health Records system
por: Melamed, Rachel D, et al.
Publicado: (2014)

Integrating cancer genomic data into electronic health records
por: Warner, Jeremy L., et al.
Publicado: (2016)

Strategies for Handling Missing Data in Electronic Health Record Derived Data
por: Wells, Brian J., et al.
Publicado: (2013)

Using Linked Data for Mining Drug-Drug Interactions in Electronic Health Records
por: Pathak, Jyotishman, et al.
Publicado: (2013)

Yield of Familial Hypercholesterolemia Genetic and Phenotypic Diagnoses After Electronic Health Record and Genomic Data Screening
por: Gidding, Samuel S., et al.
Publicado: (2023)

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

Innovate or die!: Genomic data and the electronic health record (EHR)
por: Fein, Rebecca
Publicado: (2014)

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 Mammogram Screening Follow Through with Electronic Health Record and Geographically Linked Data
por: Davis, Matthew, et al.
Publicado: (2023)

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

A strategy for validation of variables derived from large-scale electronic health record data
por: Liu, Lin, et al.
Publicado: (2021)

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

Genetic validation of bipolar disorder identified by automated phenotyping using electronic health records
por: Chen, Chia-Yen, et al.
Publicado: (2018)

Using topological data analysis and pseudo time series to infer temporal phenotypes from electronic health records
por: Dagliati, Arianna, et al.
Publicado: (2020)

Using Association Rule Mining for Phenotype Extraction from Electronic Health Records
por: Li, Dingcheng, et al.
Publicado: ( 201)

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

Linking Data From Health Surveys and Electronic Health Records: A Demonstration Project in Two Chicago Health Center Clinics
por: Wagaw, Fikirte, et al.
Publicado: (2018)

Bias in Recording of Body Mass Index Data in the Electronic Health Record
por: Rea, Susan, et al.
Publicado: ( 201)

Derivation of paediatric blood pressure percentiles from electronic health records
por: Mitsnefes, Mark M., et al.
Publicado: (2023)

Estimating summary statistics for electronic health record laboratory data for use in high-throughput phenotyping algorithms
por: Albers, D.J., et al.
Publicado: (2018)

Electronic health record and genome-wide genetic data in Generation Scotland participants
por: Kerr, Shona M., et al.
Publicado: (2017)

Improved incidence estimates from linked vs. stand-alone electronic health records
por: Millett, Elizabeth R.C., et al.
Publicado: (2016)

Leveraging genomic diversity for discovery in an electronic health record linked biobank: the UCLA ATLAS Community Health Initiative
por: Johnson, Ruth, et al.
Publicado: (2022)

Case studies in bias reduction and inference for electronic health record data with selection bias and phenotype misclassification
por: Beesley, Lauren J., et al.
Publicado: (2022)

Using linked electronic health records to report healthcare-associated infections
por: Quan, T. Phuong, et al.
Publicado: (2018)

Interoperability frameworks linking mHealth applications to electronic record systems
por: Ndlovu, Kagiso, et al.
Publicado: (2021)

Careful: An administrative child welfare and electronic health records linked dataset
por: Beal, Sarah J., et al.
Publicado: (2022)

Combining deep learning with token selection for patient phenotyping from electronic health records
por: Yang, Zhen, et al.
Publicado: (2020)

Constructing Epidemiologic Cohorts from Electronic Health Record Data
por: Williams, Brent A.
Publicado: (2021)

Genomic Information for Clinicians in the Electronic Health Record: Lessons Learned From the Clinical Genome Resource Project and the Electronic Medical Records and Genomics Network
por: Williams, Marc S., et al.
Publicado: (2019)

Genomic electronic health records: opportunities and challenges
por: Al-Ubaydli, Mohammad, et al.
Publicado: (2009)

The eMERGE Network: A consortium of biorepositories linked to electronic medical records data for conducting genomic studies
por: McCarty, Catherine A, et al.
Publicado: (2011)

Prevalence of Down's Syndrome in England, 1998–2013: Comparison of linked surveillance data and electronic health records
por: Doidge, JC, et al.
Publicado: (2019)

Real-world integration of genomic data into the electronic health record: the PennChart Genomics Initiative
por: Lau-Min, Kelsey S., et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_eb95p4vsodidln0ddefm620r27