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Machine learning approach in diagnosing Takotsubo cardiomyopathy: The role of the combined evaluation of atrial and ventricular strain, and parametric mapping

PaperCitations, authors & open-access status

Machine learning approach in diagnosing Takotsubo cardiomyopathy: The role of the combined evaluation of atrial and ventricular strain, and parametric mapping is a paper indexed in ScholarIQ from OpenAlex. ScholarIQ records 50 citations, 2022 year and green oa status.

50
Citations
2022
Year
green
OA Status

Related on ScholarIQ

Michele Porcu
Author
International Journal of Cardiology
Journal
Takotsubo Cardiomyopathy and Associated Phenomena
Topic
Takotsubo Cardiomyopathy and Associated Phenomena
Topic
Cardiac Imaging and Diagnostics
Topic
Pericarditis and Cardiac Tamponade
Topic
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