Improving risk prediction in heart failure using machine learning
Adler, Eric D., Voors, Adriaan A., Klein, Liviu, Macheret, Fima, Braun, Oscar O., Urey, Marcus A., Zhu, Wenhong, Sama, Iziah, Tadel, Matevz, Campagnari, Claudio, Greenberg, Barry, Yagil, Avi
Published in European journal of heart failure (01.01.2020)
Published in European journal of heart failure (01.01.2020)
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Journal Article
RenderCore – a new WebGPU-based rendering engine for ROOT-EVE
Bohak, Ciril, Kovalskyi, Dmytro, Linev, Sergey, Mrak Tadel, Alja, Strban, Sebastien, Tadel, Matevž, Yagil, Avi
Published in EPJ Web of Conferences (2024)
Published in EPJ Web of Conferences (2024)
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Journal Article
Conference Proceeding
Generalizing mkFit and its Application to HL-LHC
Cerati, Giuseppe, Elmer, Peter, Gartung, Patrick, Giannini, Leonardo, Kortelainen, Matti, Krutelyov, Vyacheslav, Lantz, Steven, Masciovecchio, Mario, Reid, Tres, Reinsvold Hall, Allison, Riley, Daniel, Tadel, Matevž, Vourliotis, Emmanouil, Wittich, Peter, Yagil, Avi
Published in EPJ Web of Conferences (2024)
Published in EPJ Web of Conferences (2024)
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Journal Article
Conference Proceeding
EVE-7 and FireworksWeb: The next generation event visualization tools for ROOT and CMS
Mrak Tadel, Alja, Tadel, Matevz, Yagil, Avi, Kovalskyi, Dmytro, Linev, Sergey
Published in EPJ Web of Conferences (01.01.2020)
Published in EPJ Web of Conferences (01.01.2020)
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Journal Article
Conference Proceeding
Exploring server/web-client event display for CMS
Mrak Tadel, Alja, Tadel, Matevz, Yagil, Avi, Kovalskyi, Dmytro, Linev, Sergey
Published in EPJ Web of Conferences (2019)
Published in EPJ Web of Conferences (2019)
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Journal Article
Conference Proceeding
Parallelized and Vectorized Tracking Using Kalman Filters with CMS Detector Geometry and Events
Cerati, Giuseppe, Elmer, Peter, Gravelle, Brian, Kortelainen, Matti, Krutelyov, Vyacheslav, Lantz, Steven, Lefebvre, Matthieu, Masciovecchio, Mario, McDermott, Kevin, Norris, Boyana, Reinsvold Hall, Allison, Riley, Daniel, Tadel, Matevž, Wittich, Peter, Würthwein, Frank, Yagil, Avi
Published in EPJ Web of Conferences (2019)
Published in EPJ Web of Conferences (2019)
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Journal Article
Conference Proceeding
Parallelized Kalman-Filter-Based Reconstruction of Particle Tracks on Many-Core Processors and GPUs
Cerati, Giuseppe, Elmer, Peter, Krutelyov, Slava, Lantz, Steven, Lefebvre, Matthieu, Masciovecchio, Mario, McDermott, Kevin, Riley, Daniel, Tadel, Matevž, Wittich, Peter, Würthwein, Frank, Yagil, Avi
Published in EPJ Web of Conferences (01.01.2017)
Published in EPJ Web of Conferences (01.01.2017)
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Journal Article
Conference Proceeding
Kalman Filter Tracking on Parallel Architectures
Cerati, Giuseppe, Elmer, Peter, Krutelyov, Slava, Lantz, Steven, Lefebvre, Matthieu, McDermott, Kevin, Riley, Daniel, Tadel, Matevž, Wittich, Peter, Würthwein, Frank, Yagil, Avi
Published in EPJ Web of Conferences (01.01.2016)
Published in EPJ Web of Conferences (01.01.2016)
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Journal Article
Conference Proceeding
PROSPECTIVE VALIDATION OF MACHINE LEARNING ASSESSMENT OF RISK AND EARLY MORTALITY IN HEART FAILURE (MARKER-HF) IN A LARGE, INTEGRATED HEALTH SYSTEM
Awoyemi, Toluwalase, Gray, Elizabbeth, Campagnari, Claudio, Adler, Eric, Yagil, Avi, Greenberg, Barry H., Ahmad, Faraz S.
Published in Journal of the American College of Cardiology (02.04.2024)
Published in Journal of the American College of Cardiology (02.04.2024)
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Journal Article
A MACHINE LEARNING DERIVED RISK SCORE IMPROVES PREDICTION OF OUTCOMES POSTHEARTMATE 3 IMPLANTATION: AN ANALYSIS OF THE INTERMACS DATABASE
Park, Jin Joo, John, Sonya, Campagnari, Claudio, Yagil, Avi, Greenberg, Barry H., Adler, Eric
Published in Journal of the American College of Cardiology (02.04.2024)
Published in Journal of the American College of Cardiology (02.04.2024)
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Journal Article
Abstract 14978: Using a Machine Learning Risk Score to Predict Outcomes in Patients Undergoing LVAD Implantation: An Analysis of the INTERMACS Database
John, Sonya, Park, Jin Joo, Yagil, Avi, Campagnari, Claudio, Greenberg, Barry, Adler, Eric
Published in Circulation (New York, N.Y.) (07.11.2023)
Published in Circulation (New York, N.Y.) (07.11.2023)
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Journal Article
A machine learning-derived risk score predicts mortality in East Asian patients with acute heart failure
Park, Jin Joo, Jang, Se Yong, Adler, Eric, Ahmad, Faraz, Campagnari, Claudio, Yagil, Avi, Greenberg, Barry
Published in European journal of heart failure (01.12.2023)
Published in European journal of heart failure (01.12.2023)
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Journal Article
Improving clinical trial efficiency using a machine learning‐based risk score to enrich study populations
Jering, Karola S., Campagnari, Claudio, Claggett, Brian, Adler, Eric, Klein, Liviu, Ahmad, Faraz S., Voors, Adriaan A., Solomon, Scott, Yagil, Avi, Greenberg, Barry
Published in European journal of heart failure (01.08.2022)
Published in European journal of heart failure (01.08.2022)
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Journal Article
Abstract 14426: Comparing Performance of MARKER-HF, a Machine Learning Derived Risk Score, and the Seattle Heart Failure Model in Patients With Heart Failure in a Large, Integrated Health System
Ahmad, Faraz S, Ling Hu, Ted, Wehbe, Ramsey M, Mutharasan, Raja K, Wilcox, Jane E, Petito, Lucia, Campagnari, Claudio, Greenberg, Barry H, Yagil, Avi, Adler, Eric D
Published in Circulation (New York, N.Y.) (16.11.2021)
Published in Circulation (New York, N.Y.) (16.11.2021)
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Journal Article
Impact of tracker layout on track reconstruction with high pileup
Krutelyov, Vyacheslav, Cerati, Giuseppe, Tadel, Matevz, Wuerthwein, Frank, Yagil, Avi
Published in Journal of physics. Conference series (01.10.2017)
Published in Journal of physics. Conference series (01.10.2017)
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Journal Article
Performance of risk models to predict mortality risk for patients with heart failure: evaluation in an integrated health system
Ahmad, Faraz S., Hu, Ted Ling, Adler, Eric D., Petito, Lucia C., Wehbe, Ramsey M., Wilcox, Jane E., Mutharasan, R. Kannan, Nardone, Beatrice, Tadel, Matevz, Greenberg, Barry, Yagil, Avi, Campagnari, Claudio
Published in Clinical research in cardiology (01.09.2024)
Published in Clinical research in cardiology (01.09.2024)
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Journal Article
MACHINE LEARNING ALGORITHM USING 8 COMMONLY ACQUIRED CLINICAL VARIABLES ACCURATELY PREDICTS MORTALITY IN HEART FAILURE
Adler, Eric, Voors, Adriaan, Klein, Liviu, Macheret, Fima, Sama, Iziah, Braun, Oscar, Urey, Marcus, Zhu, Wenhong, Tadel, Matevz, Campagnari, Claudio, Greenberg, Barry, Yagil, Avi
Published in Journal of the American College of Cardiology (12.03.2019)
Published in Journal of the American College of Cardiology (12.03.2019)
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Journal Article
Mortality Prediction in Patients With or Without Heart Failure Using a Machine Learning Model
Jang, Se Yong, Park, Jin Joo, Adler, Eric, Eshraghian, Emily, Ahmad, Faraz S., Campagnari, Claudio, Yagil, Avi, Greenberg, Barry
Published in JACC. Advances (Online) (01.09.2023)
Published in JACC. Advances (Online) (01.09.2023)
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