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Use of Machine Learning Methodology to Find Predictors of All-cause Mortality in the Systolic Blood Pressure Intervention Trial (sprint)

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Year: 2020
Type: article
Source: Journal of the American College of Cardiology
DOI: 10.1016/s0735-1097(20)32688-7
Authors: Nuha Gani, Gauri Dandi, Zyannah Mallick, Adrita Ashraf, Victoria Xin, Ian Atkinson, Anwar Husain, Noah Hasan, Xin Tian, Colin Wu, Tejas Patel, Anna Kettermann, George Sopko, Carlos Cure, Gyorgy Csako, Danielle Jateng, Jerome Fleg, Victor Crentsil, Iffat Chowdhury, Keith Burkhart, Amit Dey, Eileen Navarro, Frank Pucino, Yves Rosenberg, Ahmed Hasan
Institution: National Institutes of Health
Language: English

Topic: Blood Pressure and Hypertension Studies
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
SDG: Good health and well-being

Open Access status: bronze
OpenAlex ID: W3011903094
FWCI:
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Related to: 10
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