Big Data and Artificial Intelligence: Opportunities and Threats in Electrophysiology

Autor: van de Leur, R.R., Boonstra, M.J., Bagheri, A., Roudijk, R.W., Sammani, A., Taha, K., Doevendans, P.A.F.M., van der Harst, P., van Dam, P.M., Hassink, R.J., van Es, R., Asselbergs, F.W., Methodology and statistics for the behavioural and social sciences, Leerstoel Heijden

Publikováno v: Arrhythmia & Electrophysiology Review, Vol 9, Iss 3, Pp 146-154 (2020)
Arrhythmia & Electrophysiology Review, 9(3), 146. Radcliffe Group Ltd
Arrhythmia & Electrophysiology Review

The combination of big data and artificial intelligence (AI) is having an increasing impact on the field of electrophysiology. Algorithms are created to improve the automated diagnosis of clinical ECGs or ambulatory rhythm devices. Furthermore, the u

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d3ca764ca05851df3cc9ec5093eddfc
https://www.aerjournal.com/articles/big-data-and-artificial-intelligence

Hypertrophic cardiomyopathy

Autor: Christiaans, Imke, Elliott, P.M., Michels, M.M., Baars, H.F., Doevendans, P.A.F.M., Houweling, A.C., van Tintelen, J.P.

Publikováno v: Clinical Cardiogenetics 2020, 63-75
ISSUE=3;STARTPAGE=63;ENDPAGE=75;TITLE=Clinical Cardiogenetics 2020

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::3a71aba37e728e4e4ff3d60440fad8ce
https://research.rug.nl/en/publications/c33ccd56-a537-4d0c-bd20-6c31dbdd2adf

Additional Candidate Genes for Human Atherosclerotic Disease Identified Through Annotation Based on Chromatin Organization

Autor: Haitjema, S., Meddens, C.A., Laan, S.W. van der, Kofink, D., Harakalova, M., Tragante, V., Asl, H.F., Setten, J. van, Brandt, M.M., Bis, J.C., O'Donnell, C., Cheng, C., Hoefer, I.E., Waltenberger, J., Biessen, E., Jukema, J.W., Doevendans, P.A.F.M., Nieuwenhuis, E.E.S., Erdmann, J., Bjorkegren, J.L.M., Pasterkamp, G., Asselbergs, F.W., Ruijter, H.M. den, Mokry, M., CHARGE Consortium, METASTROKE Grp Int Stroke Genetics

Publikováno v: Circulation-Cardiovascular genetics, 10(2). Lippincott Williams and Wilkins
Circulation : Cardiovascular Genetics, 10(2):001664. LIPPINCOTT WILLIAMS & WILKINS
Circulation: Cardiovascular Genetics, 10(2)
Circulation-cardiovascular genetics, 10(2):UNSP e001664. Lippincott Williams & Wilkins

Background— As genome-wide association efforts, such as CARDIoGRAM and METASTROKE, are ongoing to reveal susceptibility loci for their underlying disease—atherosclerotic disease—identification of candidate genes explaining the associations of t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::839cb8b2556feb8033414e4ddc14fd2e
https://hdl.handle.net/1887/95079

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