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Abstract 4345167: A Contemporary Machine Learning-Based Risk Stratification for Mortality and Hospitalization in Heart Failure with Preserved Ejection Fraction Using Multimodal Real-World Data

Year: 2025

Type: conference-abstract

Source: Circulation

DOI: 10.1161/circ.152.suppl_3.4345167

Authors: Marat Fudim, Vanessa van Empel, Tobias Zehnder, Benoit Sauty, Christian Esposito, Félix Balazard, Imke Mayer, Mohammad Hallal, Nicolas Loiseau, Jerremy Weerts, Manesh Patel, Suresh Balu, Bradley Hintze, Francisco Torres, Mariann Micsinai Balan, Marzia Rigolli, Paul Kessler, Maxime TOUZOT, Lars Lund, Aruna Pradhan, Javed Butler

Institutions: Maastricht University Medical Centre, Duke Medical Center, Duke University, Bristol-Myers Squibb (United States), Karolinska Institutet, Baylor Scott & White Research Institute

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: closed

OpenAlex ID: W4415799518

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