Cargando…

Assessing the added value of linking electronic health records to improve the prediction of self-reported COVID-19 testing and diagnosis

Since the beginning of the Coronavirus Disease 2019 (COVID-19) pandemic, a focus of research has been to identify risk factors associated with COVID-19-related outcomes, such as testing and diagnosis, and use them to build prediction models. Existing studies have used data from digital surveys or el...

Descripción completa

Detalles Bibliográficos
Autores principales:	Clark-Boucher, Dylan, Boss, Jonathan, Salvatore, Maxwell, Smith, Jennifer A., Fritsche, Lars G., Mukherjee, Bhramar
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2022
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9312965/ https://www.ncbi.nlm.nih.gov/pubmed/35877617 http://dx.doi.org/10.1371/journal.pone.0269017

Ejemplares similares

Estimating COVID-19 Vaccination and Booster Effectiveness Using Electronic Health Records From an Academic Medical Center in Michigan
por: Roberts, Emily K., et al.
Publicado: (2022)

COVID-19 outcomes, risk factors and associations by race: a comprehensive analysis using electronic health records data in Michigan Medicine
por: Gu, Tian, et al.
Publicado: (2020)

A phenome-wide association study (PheWAS) of COVID-19 outcomes by race using the electronic health records data in Michigan Medicine
por: Salvatore, Maxwell, et al.
Publicado: (2021)

A Phenome-Wide Association Study (PheWAS) of COVID-19 Outcomes by Race Using the Electronic Health Records Data in Michigan Medicine
por: Salvatore, Maxwell, et al.
Publicado: (2021)

On cross-ancestry cancer polygenic risk scores
por: Fritsche, Lars G., et al.
Publicado: (2021)

Design and Analysis Heterogeneity in Observational Studies of COVID-19 Booster Effectiveness: A Review and Case Study
por: Meah, Sabir, et al.
Publicado: (2023)

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)

A Case-Crossover Phenome-wide association study (PheWAS) for understanding Post-COVID-19 diagnosis patterns
por: Haupert, Spencer R., et al.
Publicado: (2022)

Bias reduction and inference for electronic health record data under selection and phenotype misclassification: three case studies
por: Beesley, Lauren J., et al.
Publicado: (2020)

Methods for Mediation Analysis with High-Dimensional DNA Methylation Data: Possible Choices and Comparison
por: Clark-Boucher, Dylan, et al.
Publicado: (2023)

Methods for mediation analysis with high-dimensional DNA methylation data: Possible choices and comparisons
por: Clark-Boucher, Dylan, et al.
Publicado: (2023)

The construction of cross-population polygenic risk scores using transfer learning
por: Zhao, Zhangchen, et al.
Publicado: (2022)

Characterizing and Predicting Post-Acute Sequelae of SARS CoV-2 infection (PASC) in a Large Academic Medical Center in the US
por: Fritsche, Lars G., et al.
Publicado: (2022)

Characterizing and Predicting Post-Acute Sequelae of SARS CoV-2 Infection (PASC) in a Large Academic Medical Center in the US
por: Fritsche, Lars G., et al.
Publicado: (2023)

Changes in COVID-19-related outcomes, potential risk factors and disparities over time
por: Yu, Youfei, et al.
Publicado: (2021)

Associations of self-reported occupational exposures and settings to ALS: a case–control study
por: Goutman, Stephen A., et al.
Publicado: (2022)

Incorporating functional annotation with bilevel continuous shrinkage for polygenic risk prediction
por: Zhuang, Yongwen, et al.
Publicado: (2023)

Cancer PRSweb: An Online Repository with Polygenic Risk Scores for Major Cancer Traits and Their Evaluation in Two Independent Biobanks
por: Fritsche, Lars G., et al.
Publicado: (2020)

Understanding the Patterns of Serological Testing for COVID-19 Pre- and Post-Vaccination Rollout in Michigan
por: Zhao, Zhangchen, et al.
Publicado: (2021)

Assessing the Added Value of Vital Signs Extracted from Electronic Health Records in Healthcare Risk Adjustment Models
por: Kitchen, Christopher, et al.
Publicado: (2022)

The Michigan Genomics Initiative: A biobank linking genotypes and electronic clinical records in Michigan Medicine patients
por: Zawistowski, Matthew, et al.
Publicado: (2023)

Characteristics Associated With Racial/Ethnic Disparities in COVID-19 Outcomes in an Academic Health Care System
por: Gu, Tian, et al.
Publicado: (2020)

Variability in prescription drug expenditures explained by adjusted clinical groups (ACG) case-mix: A cross-sectional study of patient electronic records in primary care
por: Aguado, Alba, et al.
Publicado: (2008)

How to validate a diagnosis recorded in electronic health records
por: Nissen, Francis, et al.
Publicado: (2019)

MIAME/Plant – adding value to plant microarrray experiments
por: Zimmermann, Philip, et al.
Publicado: (2006)

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

Cheminformatics and the Semantic Web: adding value with linked data and enhanced provenance
por: Frey, Jeremy G, et al.
Publicado: (2013)

Integrating a health-related-quality-of-life module within electronic health records: a comparative case study assessing value added
por: Shea, Christopher M, et al.
Publicado: (2012)

A Comprehensive Public Health Evaluation of Lockdown as a Non-pharmaceutical Intervention on COVID-19 Spread in India: National Trends Masking State Level Variations
por: Basu, Deepankar, et al.
Publicado: (2020)

Comprehensive public health evaluation of lockdown as a non-pharmaceutical intervention on COVID-19 spread in India: national trends masking state-level variations
por: Salvatore, Maxwell, et al.
Publicado: (2020)

Persistent organic pollutant exposure contributes to Black/White differences in leukocyte telomere length in the National Health and Nutrition Examination Survey
por: Roberts, Emily K., et al.
Publicado: (2022)

What counts in teaching mathematics: adding value to self and content
por: Schuck, Sandy, et al.
Publicado: (2011)

Author Correction: Incorporating false negative tests in epidemiological models for SARS-CoV-2 transmission and reconciling with seroprevalence estimates
por: Bhattacharyya, Rupam, et al.
Publicado: (2021)

Incorporating false negative tests in epidemiological models for SARS-CoV-2 transmission and reconciling with seroprevalence estimates
por: Bhattacharyya, Rupam, et al.
Publicado: (2021)

Ambulatory physicians’ electronic health record self-efficacy
por: Hellems, Martha Ann
Publicado: (2021)

Imputation of missing values for electronic health record laboratory data
por: Li, Jiang, et al.
Publicado: (2021)

CIS3/398: Implementation of a Web-Based Electronic Patient Record for Transplant Recipients
por: Fritsche, L, et al.
Publicado: (1999)

Complete hazard ranking to analyze right-censored data: An ALS survival study
por: Huang, Zhengnan, et al.
Publicado: (2017)

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

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

Cannot write session to /tmp/vufind_sessions/sess_raalkv7013ju6of204qq35cl89