Big Data, Health Informatics, and the Future of Cardiovascular Medicine.

Kim J

doi:10.1016/j.jacc.2017.01.006

Big Data, Health Informatics, and the Future of Cardiovascular Medicine.

Affiliations

1. Division of Cardiovascular Health and Disease, Department of Medicine, University of Cincinnati College of Medicine, Cincinnati, Ohio.
Authors
Kim J¹
(1 author)

Journal of the American College of Cardiology, 01 Feb 2017, 69(7):899-902
https://doi.org/10.1016/j.jacc.2017.01.006 PMID: 28209228

Abstract

No abstract provided.

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Read article at publisher's site: https://doi.org/10.1016/j.jacc.2017.01.006

References

Articles referenced by this article (20)

Hood L. A vision for personalized medicine. MIT Technology Review. Available at: https://www.technologyreview.com/s/417929/a-vision-for-personalized-medicine/. Accessed May 10, 2016.
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Refocusing medical education in the EMR era.
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Acquisition, analysis, and sharing of data in 2015 and beyond: a survey of the landscape: a conference report from the American Heart Association Data Summit 2015
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Article citations

Molecular Study of Sudden Cardiac Death.
Hostiuc S
Int J Mol Sci, 25(12):6366, 08 Jun 2024
Cited by: 0 articles | PMID: 38928072
Machine Learning Identification of Modifiable Predictors of Patient Outcomes After Transcatheter Aortic Valve Replacement.
Russo MJ, Elmariah S, Kaneko T, Daniels DV, Makkar RR, Chikermane SG, Thompson C, Benuzillo J, Clancy S, Pawlikowski A, Lawrence S, Luck J
JACC Adv, 3(8):101116, 16 Jul 2024
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This article is in the Europe PMC Open access subset. Refer to the copyright information in the article for licensing details.
Free full text in Europe PMC
Artificial intelligence-based mining of electronic health record data to accelerate the digital transformation of the national cardiovascular ecosystem: design protocol of the CardioMining study.
Samaras A, Bekiaridou A, Papazoglou AS, Moysidis DV, Tsoumakas G, Bamidis P, Tsigkas G, Lazaros G, Kassimis G, Fragakis N, Vassilikos V, Zarifis I, Tziakas DN, Tsioufis K, Davlouros P, Giannakoulas G, CardioMining Study Group
BMJ Open, 13(4):e068698, 03 Apr 2023
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This article is in the Europe PMC Open access subset. Refer to the copyright information in the article for licensing details.
Free full text in Europe PMC
Clinician Data Scientists-Preparing for the Future of Medicine in the Digital World.
Wang F, Ma L, Moulton G, Wang M, Zhang L
Health Data Sci, 2022:9832564, 27 Sep 2022
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Review
Estimating Cardiorespiratory Fitness Without Exercise Testing or Physical Activity Status in Healthy Adults: Regression Model Development and Validation.
Sloan R, Visentini-Scarzanella M, Sawada S, Sui X, Myers J
JMIR Public Health Surveill, 8(7):e34717, 06 Jul 2022
Cited by: 4 articles | PMID: 35793133 | PMCID: PMC9301546
This article is in the Europe PMC Open access subset. Refer to the copyright information in the article for licensing details.
Free full text in Europe PMC

Go to all (21) article citations

Search life-sciences literature (45,104,206 articles, preprints and more)

Big Data, Health Informatics, and the Future of Cardiovascular Medicine.

Affiliations

Authors

Abstract

Full text links

References

Hood L. A vision for personalized medicine. MIT Technology Review. Available at: https://www.technologyreview.com/s/417929/a-vision-for-personalized-medicine/. Accessed May 10, 2016.

Big data for health.

Big data and new knowledge in medicine: the thinking, training, and tools needed for a learning health system.

Refocusing medical education in the EMR era.

Acquisition, analysis, and sharing of data in 2015 and beyond: a survey of the landscape: a conference report from the American Heart Association Data Summit 2015

Big data in medical applications and health care

Big data analytics in healthcare: promise and potential.

Harnessing the heart of big data.

Big Data for cardiology: novel discovery?

The Promise of Big Data: Opportunities and Challenges.

Citations & impact

Impact metrics

Citations of article over time

Alternative metrics

Article citations

Molecular Study of Sudden Cardiac Death.

Machine Learning Identification of Modifiable Predictors of Patient Outcomes After Transcatheter Aortic Valve Replacement.

Artificial intelligence-based mining of electronic health record data to accelerate the digital transformation of the national cardiovascular ecosystem: design protocol of the CardioMining study.

Clinician Data Scientists-Preparing for the Future of Medicine in the Digital World.

Estimating Cardiorespiratory Fitness Without Exercise Testing or Physical Activity Status in Healthy Adults: Regression Model Development and Validation.

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Search life-sciences literature (45,104,206 articles, preprints and more)

Big Data, Health Informatics, and the Future of Cardiovascular Medicine.

Author information

Affiliations

Authors

Abstract

Full text links

References

Hood L. A vision for personalized medicine. MIT Technology Review. Available at: https://www.technologyreview.com/s/417929/a-vision-for-personalized-medicine/. Accessed May 10, 2016.

Acquisition, analysis, and sharing of data in 2015 and beyond: a survey of the landscape: a conference report from the American Heart Association Data Summit 2015

Big data in medical applications and health care

Citations & impact

Impact metrics

Citations of article over time

Alternative metrics

Article citations

Similar Articles

Partnerships & funding