Literature DB >> 26705386

Big Data for cardiology: novel discovery?

Viktor Mayer-Schönberger1.   

Abstract

AIM: Big Data promises to change cardiology through a massive increase in the data gathered and analysed; but its impact goes beyond improving incrementally existing methods. METHODS AND
RESULTS: The potential of comprehensive data sets for scientific discovery is examined, and its impact on the scientific method generally and cardiology in particular is posited, together with likely consequences for research and practice.
CONCLUSION: Big Data in cardiology changes how new insights are being discovered. For it to flourish, significant modifications in the methods, structures, and institutions of the profession are necessary. Published on behalf of the European Society of Cardiology. All rights reserved.
© The Author 2015. For permissions please email: journals.permissions@oup.com.

Keywords:  Big Data; Causality; Correlation; Discovery; Empirical analysis; Scientific method

Mesh:

Year:  2015        PMID: 26705386     DOI: 10.1093/eurheartj/ehv648

Source DB:  PubMed          Journal:  Eur Heart J        ISSN: 0195-668X            Impact factor:   29.983


  8 in total

1.  Real World Home Blood Pressure Variability in Over 56,000 Individuals With Nearly 17 Million Measurements.

Authors:  Kwang-Il Kim; Nima Nikzad; Giorgio Quer; Nathan E Wineinger; Matthieu Vegreville; Alexis Normand; Nicolas Schmidt; Eric J Topol; Steven Steinhubl
Journal:  Am J Hypertens       Date:  2018-04-13       Impact factor: 2.689

2.  Impact of atrial fibrillation on patients hospitalized for acute myocarditis: Insights from a nationally-representative United States cohort.

Authors:  Ahmed Subahi; Emmanuel Akintoye; Ahmed S Yassin; Hossam Abubakar; Oluwole Adegbala; Tushar Mishra; Mohamed Abdelrahman; Mohamed Shokr; Luis Afonso
Journal:  Clin Cardiol       Date:  2019-01-03       Impact factor: 2.882

3.  Atrial fibrillation and heart failure with preserved ejection fraction: Insights on a unique clinical phenotype from a nationally-representative United States cohort.

Authors:  Parag Goyal; Zaid I Almarzooq; Jim Cheung; Hooman Kamel; Udhay Krishnan; Dmitriy N Feldman; Evelyn M Horn; Luke K Kim
Journal:  Int J Cardiol       Date:  2018-09-01       Impact factor: 4.164

4.  Methodological issues on the use of administrative data in healthcare research: the case of heart failure hospitalizations in Lombardy region, 2000 to 2012.

Authors:  Cristina Mazzali; Anna Maria Paganoni; Francesca Ieva; Cristina Masella; Mauro Maistrello; Ornella Agostoni; Simonetta Scalvini; Maria Frigerio
Journal:  BMC Health Serv Res       Date:  2016-07-08       Impact factor: 2.655

5.  Sharing Clinical Big Data While Protecting Confidentiality and Security: Observational Health Data Sciences and Informatics.

Authors:  Rae Woong Park
Journal:  Healthc Inform Res       Date:  2017-01-31

Review 6.  Past, present, and future of Emergency General Surgery in the USA.

Authors:  Heather G Lyu; Peter Najjar; Joaquim M Havens
Journal:  Acute Med Surg       Date:  2018-01-12

Review 7.  Big Data, Extracting Insights, Comprehension, and Analytics in Cardiology: An Overview.

Authors:  Hui Xiao; Sikandar Ali; Zhen Zhang; Muhammad Shahzad Sarfraz; Fang Zhang; Mohammad Faisal
Journal:  J Healthc Eng       Date:  2021-01-30       Impact factor: 2.682

8.  Introduction of a web portal for an Individual Health Management and observational health data sciences.

Authors:  Dieter Melchart; Axel Eustachi; Stephan Gronwald; Erich Wühr; Kristina Wifling; Beatrice E Bachmeier
Journal:  Patient Relat Outcome Meas       Date:  2018-06-21
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.