Literature DB >> 33604008

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

Hui Xiao1, Sikandar Ali2, Zhen Zhang1, Muhammad Shahzad Sarfraz3, Fang Zhang1, Mohammad Faisal4.   

Abstract

Healthcare system facilitates the treatment of patients with the support of wearable, smart, and handheld devices, as well as many other devices. These devices are producing a huge bulk of data that need to be moulded for extracting meaningful insights from them for the useful use of researchers and practitioners. Various approaches, methods, and tools are in use for doing so and to extract meaningful information in the field of healthcare. This information is being used as evidence to further analyze the data for the early care of patient and to devise treatment. Early care and treatment can facilitate healthcare and the treatment of the patient and can have immense potentiality of dropping the care cost and quality refining of care and can decrease waste and chances of error. To facilitate healthcare in general and cardiology in specific, the proposed study presents an overview of the available literature associated with big data, its insights, and analytics. The presented report will help practitioners and researchers to devise new solutions for early care in healthcare and in cardiology.
Copyright © 2021 Hui Xiao et al.

Entities:  

Year:  2021        PMID: 33604008      PMCID: PMC7868142          DOI: 10.1155/2021/6635463

Source DB:  PubMed          Journal:  J Healthc Eng        ISSN: 2040-2295            Impact factor:   2.682


  32 in total

Review 1.  Big Data for cardiology: novel discovery?

Authors:  Viktor Mayer-Schönberger
Journal:  Eur Heart J       Date:  2015-12-24       Impact factor: 29.983

Review 2.  Use of smartphone technology in cardiology.

Authors:  Hoang H Nguyen; Jennifer N A Silva
Journal:  Trends Cardiovasc Med       Date:  2015-11-19       Impact factor: 6.677

3.  Use of clinical guidelines in cardiology practice in Sudan.

Authors:  Hwaida Elsadig; Marjorie Weiss; Jenny Scott; Raisa Laaksonen
Journal:  J Eval Clin Pract       Date:  2017-06-06       Impact factor: 2.431

Review 4.  Big Data and paediatric cardiovascular disease in the era of transparency in healthcare.

Authors:  Alfred Asante-Korang; Jeffrey P Jacobs
Journal:  Cardiol Young       Date:  2016-12       Impact factor: 1.093

Review 5.  Transforming healthcare with big data analytics and artificial intelligence: A systematic mapping study.

Authors:  Nishita Mehta; Anil Pandit; Sharvari Shukla
Journal:  J Biomed Inform       Date:  2019-10-17       Impact factor: 6.317

Review 6.  Wearable technology for cardiology: An update and framework for the future.

Authors:  Joshua M Pevnick; Kade Birkeland; Raymond Zimmer; Yaron Elad; Ilan Kedan
Journal:  Trends Cardiovasc Med       Date:  2017-08-09       Impact factor: 6.677

7.  Implementation of a Web Portal for Diabetes Patients Using Open Source Data Visualization Libraries.

Authors:  Georgy Kopanitsa; Anatoly Karpov; Georgy Lakovenko; Andrey Laskovenko
Journal:  Stud Health Technol Inform       Date:  2016

Review 8.  Big data analytics in healthcare: promise and potential.

Authors:  Wullianallur Raghupathi; Viju Raghupathi
Journal:  Health Inf Sci Syst       Date:  2014-02-07

9.  Intelligent Machine Learning Approach for Effective Recognition of Diabetes in E-Healthcare Using Clinical Data.

Authors:  Amin Ul Haq; Jian Ping Li; Jalaluddin Khan; Muhammad Hammad Memon; Shah Nazir; Sultan Ahmad; Ghufran Ahmad Khan; Amjad Ali
Journal:  Sensors (Basel)       Date:  2020-05-06       Impact factor: 3.576

Review 10.  Big data from electronic health records for early and late translational cardiovascular research: challenges and potential.

Authors:  Harry Hemingway; Folkert W Asselbergs; John Danesh; Richard Dobson; Nikolaos Maniadakis; Aldo Maggioni; Ghislaine J M van Thiel; Maureen Cronin; Gunnar Brobert; Panos Vardas; Stefan D Anker; Diederick E Grobbee; Spiros Denaxas
Journal:  Eur Heart J       Date:  2018-04-21       Impact factor: 29.983

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  1 in total

Review 1.  Big Data in Cardiology: State-of-Art and Future Prospects.

Authors:  Haijiang Dai; Arwa Younis; Jude Dzevela Kong; Luca Puce; Georges Jabbour; Hong Yuan; Nicola Luigi Bragazzi
Journal:  Front Cardiovasc Med       Date:  2022-04-01
  1 in total

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