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Use of Machine Learning Methodology to Find Predictors of All-cause Mortality in the Treatment of Preserved Cardiac Function Heart Failure With an Aldosterone Antagonist Trial (topcat)

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Year: 2020
Type: article
Source: Journal of the American College of Cardiology
DOI: 10.1016/s0735-1097(20)31655-7
Authors: Gauri Dandi, Nuha Gani, Zyannah Mallick, Victoria Xin, Ian Atkinson, Avantika Banerjee, Anwar Husain, Adrita Ashraf, Xin Tian, Colin Wu, Tejas Patel, Anna Kettermann, Rodica Ciurea, Natalie Lewis, Danielle Jateng, George Sopko, Carlos Cure, Gyorgy Csako, Keith Burkhart, Victor Crentsil, Amit Dey, Eileen Navarro, Frank Pucino, Yves Rosenberg, Ahmed Hasan
Institution: National Institutes of Health
Language: English

Topic: Heart Failure Treatment and Management
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
SDG: Good health and well-being

Open Access status: bronze
OpenAlex ID: W3012484155
FWCI:
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Related to: 10
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