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Claudio Campagnari

Showing results (1-10 of 9) with videos related to

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Science (New York, N.Y.)|April 7, 2022
An upset to the standard modelClaudio Campagnari, Martijn Mulders
European Journal of Heart Failure|March 16, 2021
A machine learning risk score predicts mortality across the spectrum of left ventricular ejection fractionBarry Greenberg, Eric Adler, Claudio Campagnari, et al.
Journal of Cardiac Failure|November 1, 2024
A Machine Learning-derived Risk Score Improves Prediction of Outcomes After LVAD Implantation: An Analysis of the INTERMACS DatabaseJin Joo Park, Sonya John, Claudio Campagnari, et al.
JACC. Advances|June 28, 2024
Mortality Prediction in Patients With or Without Heart Failure Using a Machine Learning ModelSe Yong Jang, Jin Joo Park, Eric Adler, et al.
Journal of the American College of Cardiology|July 30, 2025
Optimizing the Primary Prevention of Sudden Cardiac Death in Patients With Heart FailureNicolai Wallace, Karren Wong, Taylor Desmarais, et al.
European Journal of Heart Failure|May 4, 2022
Improving clinical trial efficiency using a machine learning-based risk score to enrich study populationsKarola S Jering, Claudio Campagnari, Brian Claggett, et al.
European Journal of Heart Failure|November 14, 2019
Improving risk prediction in heart failure using machine learningEric D Adler, Adriaan A Voors, Liviu Klein, et al.
Clinical Research in Cardiology : Official Journal of the German Cardiac Society|April 2, 2024
Performance of risk models to predict mortality risk for patients with heart failure: evaluation in an integrated health systemFaraz S Ahmad, Ted Ling Hu, Eric D Adler, et al.
EPJ Research Infrastructures|February 23, 2026
Anomaly Detection for Automated Data Quality Monitoring in the CMS DetectorAndrew Brinkerhoff, Chosila Sutantawibul, Indara Suarez, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Science (New York, N.Y.)|April 7, 2022
An upset to the standard modelClaudio Campagnari, Martijn Mulders
European Journal of Heart Failure|March 16, 2021
A machine learning risk score predicts mortality across the spectrum of left ventricular ejection fractionBarry Greenberg, Eric Adler, Claudio Campagnari, et al.
Journal of Cardiac Failure|November 1, 2024
A Machine Learning-derived Risk Score Improves Prediction of Outcomes After LVAD Implantation: An Analysis of the INTERMACS DatabaseJin Joo Park, Sonya John, Claudio Campagnari, et al.
JACC. Advances|June 28, 2024
Mortality Prediction in Patients With or Without Heart Failure Using a Machine Learning ModelSe Yong Jang, Jin Joo Park, Eric Adler, et al.
Journal of the American College of Cardiology|July 30, 2025
Optimizing the Primary Prevention of Sudden Cardiac Death in Patients With Heart FailureNicolai Wallace, Karren Wong, Taylor Desmarais, et al.
European Journal of Heart Failure|May 4, 2022
Improving clinical trial efficiency using a machine learning-based risk score to enrich study populationsKarola S Jering, Claudio Campagnari, Brian Claggett, et al.
European Journal of Heart Failure|November 14, 2019
Improving risk prediction in heart failure using machine learningEric D Adler, Adriaan A Voors, Liviu Klein, et al.
Clinical Research in Cardiology : Official Journal of the German Cardiac Society|April 2, 2024
Performance of risk models to predict mortality risk for patients with heart failure: evaluation in an integrated health systemFaraz S Ahmad, Ted Ling Hu, Eric D Adler, et al.
EPJ Research Infrastructures|February 23, 2026
Anomaly Detection for Automated Data Quality Monitoring in the CMS DetectorAndrew Brinkerhoff, Chosila Sutantawibul, Indara Suarez, et al.
Pageof 1