Cargando…

Big data from electronic health records for early and late translational cardiovascular research: challenges and potential

AIMS: Cohorts of millions of people's health records, whole genome sequencing, imaging, sensor, societal and publicly available data present a rapidly expanding digital trace of health. We aimed to critically review, for the first time, the challenges and potential of big data across early and...

Descripción completa

Detalles Bibliográficos
Autores principales:	Hemingway, Harry, Asselbergs, Folkert W, Danesh, John, Dobson, Richard, Maniadakis, Nikolaos, Maggioni, Aldo, van Thiel, Ghislaine J M, Cronin, Maureen, Brobert, Gunnar, Vardas, Panos, Anker, Stefan D, Grobbee, Diederick E, Denaxas, Spiros
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Oxford University Press 2018
Materias:	Clinical Review
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6019015/ https://www.ncbi.nlm.nih.gov/pubmed/29370377 http://dx.doi.org/10.1093/eurheartj/ehx487

Ejemplares similares

A population‐based study of 92 clinically recognized risk factors for heart failure: co‐occurrence, prognosis and preventive potential
por: Banerjee, Amitava, et al.
Publicado: (2022)

Temporal trends in heart failure medication prescription in a population-based cohort study
por: Uijl, Alicia, et al.
Publicado: (2021)

Transforming and evaluating electronic health record disease phenotyping algorithms using the OMOP common data model: a case study in heart failure
por: Papez, Vaclav, et al.
Publicado: (2021)

CODE-EHR best practice framework for the use of structured electronic healthcare records in clinical research
por: Kotecha, Dipak, et al.
Publicado: (2022)

CODE-EHR best practice framework for the use of structured electronic healthcare records in clinical research
por: Kotecha, Dipak, et al.
Publicado: (2022)

Lifetime risk of cardiovascular-renal disease in type 2 diabetes: a population-based study in 473,399 individuals
por: Zhang, Ruiqi, et al.
Publicado: (2022)

Correction to: Lifetime risk of cardiovascular-renal disease in type 2 diabetes: a population-based study in 473,399 individuals
por: Zhang, Ruiqi, et al.
Publicado: (2022)

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)

Risk factors for incident heart failure in age‐ and sex‐specific strata: a population‐based cohort using linked electronic health records
por: Uijl, Alicia, et al.
Publicado: (2019)

Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease( )
por: van Smeden, Maarten, et al.
Publicado: (2022)

Natural language processing for disease phenotyping in UK primary care records for research: a pilot study in myocardial infarction and death
por: Shah, Anoop D., et al.
Publicado: (2019)

Economic evaluation of rivaroxaban in stroke prevention for patients with atrial fibrillation in Greece
por: Kourlaba, Georgia, et al.
Publicado: (2014)

Low-density lipoprotein cholesterol and atrial fibrillation; A Mendelian randomization study using UK-Biobank data
por: Katsoulis, Michail, et al.
Publicado: (2017)

Models for mortality require tailoring in the context of the COVID-19 pandemic – Authors' reply
por: Banerjee, Amitava, et al.
Publicado: (2020)

Optimizing cardiovascular risk assessment and registration in a developing cardiovascular learning health care system: Women benefit most
por: Groenhof, T. Katrien J., et al.
Publicado: (2023)

Association between clinical presentations before myocardial infarction and coronary mortality: a prospective population-based study using linked electronic records
por: Herrett, Emily, et al.
Publicado: (2014)

Low eosinophil and low lymphocyte counts and the incidence of 12 cardiovascular diseases: a CALIBER cohort study
por: Shah, Anoop Dinesh, et al.
Publicado: (2016)

Neutrophil Counts and Initial Presentation of 12 Cardiovascular Diseases: A CALIBER Cohort Study
por: Shah, Anoop Dinesh, et al.
Publicado: (2017)

Prognostic burden of heart failure recorded in primary care, acute hospital admissions, or both: a population‐based linked electronic health record cohort study in 2.1 million people
por: Koudstaal, Stefan, et al.
Publicado: (2016)

The effect of computerized decision support systems on cardiovascular risk factors: a systematic review and meta-analysis
por: Groenhof, T. Katrien J., et al.
Publicado: (2019)

Polygenic risk scores for coronary artery disease and subsequent event risk amongst established cases
por: Howe, Laurence J, et al.
Publicado: (2020)

Identifying clinically important COPD sub-types using data-driven approaches in primary care population based electronic health records
por: Pikoula, Maria, et al.
Publicado: (2019)

Patient, hospital and country-level risk factors of all-cause mortality among patients with chronic heart failure: Prospective international cohort study
por: Pongiglione, Benedetta, et al.
Publicado: (2021)

Emergency department attendance after telephone triage
por: Denaxas, Spiros, et al.
Publicado: (2017)

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

An electronic health records cohort study on heart failure following myocardial infarction in England: incidence and predictors
por: Gho, Johannes M I H, et al.
Publicado: (2018)

Type and timing of heralding in ST-elevation and non-ST-elevation myocardial infarction: an analysis of prospectively collected electronic healthcare records linked to the national registry of acute coronary syndromes
por: Herrett, Emily, et al.
Publicado: (2013)

Machine learning models in electronic health records can outperform conventional survival models for predicting patient mortality in coronary artery disease
por: Steele, Andrew J., et al.
Publicado: (2018)

White cell count in the normal range and short-term and long-term mortality: international comparisons of electronic health record cohorts in England and New Zealand
por: Shah, Anoop Dinesh, et al.
Publicado: (2017)

Extracting Diagnoses and Investigation Results from Unstructured Text in Electronic Health Records by Semi-Supervised Machine Learning
por: Wang, Zhuoran, et al.
Publicado: (2012)

Net clinical benefit of warfarin in individuals with atrial fibrillation across stroke risk and across primary and secondary care
por: Allan, Victoria, et al.
Publicado: (2017)

Diagnosis and Risk Prediction of Dilated Cardiomyopathy in the Era of Big Data and Genomics
por: Sammani, Arjan, et al.
Publicado: (2021)

Methods for enhancing the reproducibility of biomedical research findings using electronic health records
por: Denaxas, Spiros, et al.
Publicado: (2017)

Transforming and evaluating the UK Biobank to the OMOP Common Data Model for COVID-19 research and beyond
por: Papez, Vaclav, et al.
Publicado: (2022)

Completeness and diagnostic validity of recording acute myocardial infarction events in primary care, hospital care, disease registry, and national mortality records: cohort study
por: Herrett, Emily, et al.
Publicado: (2013)

Ethnicity and the first diagnosis of a wide range of cardiovascular diseases: Associations in a linked electronic health record cohort of 1 million patients
por: George, Julie, et al.
Publicado: (2017)

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

Trends for Readmission and Mortality After Heart Failure Hospitalisation in Malaysia, 2007 to 2016
por: Lim, Yvonne Mei Fong, et al.
Publicado: (2022)

Stakeholders’ views on the ethical challenges of pragmatic trials investigating pharmaceutical drugs
por: Kalkman, Shona, et al.
Publicado: (2016)

Socioeconomic Deprivation and the Incidence of 12 Cardiovascular Diseases in 1.9 Million Women and Men: Implications for Risk Prediction and Prevention
por: Pujades-Rodriguez, Mar, et al.
Publicado: (2014)

Cannot write session to /tmp/vufind_sessions/sess_qr0t5dcgm3s46qst95cob8hj1p