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- Title:
Machine Learning Identifies New Predictors on Restenosis Risk after Coronary Artery Stenting in 10,004 Patients with Surveillance Angiography
- Document type:
- Zeitschriftenaufsatz
- Author(s):
- Güldener, Ulrich ; Kessler, Thorsten ; von Scheidt, Moritz ; Hawe, Johann S. ; Gerhard, Beatrix ; Maier, Dieter ; Lachmann, Mark ; Laugwitz, Karl-Ludwig ; Cassese, Salvatore ; Schömig, Albert W. ; Kastrati, Adnan ; Schunkert, Heribert
- Keywords:
- Article ; artificial intelligence ; coronary artery disease ; machine learning ; percutaneous coronary intervention ; prediction ; restenosis
- Journal title:
- Journal of Clinical Medicine
- Year:
- 2023
- Journal volume:
- 12
- Journal issue:
- 8
- Fulltext / DOI:
- doi:10.3390/jcm12082941
- Publisher:
- MDPI
- E-ISSN:
- 2077-0383
- Date of publication:
- 18.04.2023
- CC license:
- by, https://creativecommons.org/licenses/by/4.0
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