Publications

2024

  • A Phenomapping Tool and Clinical Score to Identify Low Diuretic Efficiency in Acute Decompensated Heart Failure

    Matthew W. Segar, Muhammad Shahzeb Khan, Kershaw Patel, Javed Butler, Ashwin Ravichandran, Mary Norine Walsh, DuWayne Willett, Gregg Fonarow, Mark Drazner, Robert Mentz, Jennifer Hall, Maryjane Farr, Susan Hedayati, Clyde Yancy, Larry Allen, W H Wilson Tang, Ambarish Pandey
    JACC: Heart Failure, 2024

2021

  • Development and Validation of Machine Learning-Based Race-Specific Models to Predict 10-Year Risk of Heart Failure: A Multi-Cohort Analysis

    Matthew W. Segar, Byron C. Jaeger, Kershaw V. Patel, Vijay Nambi, Chiadi E. Ndumele, Adolfo Correa, Javed Butler, Alvin Chandra, Colby Ayers, Shreya Rao, Alana A. Lewis, Laura M. Raffield, Carlos J. Rodriguez, Erin D. Michos, Christie M. Ballantyne, Michael E. Hall, Robert J. Mentz, James A. de Lemos, Ambarish Pandey
    Circulation, 2021
  • Development & Validation of Optimal Phenomapping Methods to Estimate Long-term Atherosclerotic Cardiovascular Disease Risk in Patients with Type 2 Diabetes

    Matthew W Segar, Kershaw V Patel, Muthiah Vaduganathan, Melissa C Caughey, Byron C Jaeger, Mujeeb Basit, Duwayne Willett, Javed Butler, Partho P Sengupta, Thomas J Wang, Darren K McGuire, Ambarish Pandey
    Diabetologia, 2021

2019

  • Phenomapping of patients with heart failure with preserved ejection fraction using machine learningā€based unsupervised cluster analysis

    Matthew W Segar, Kershaw V Patel, Colby Ayers, Mujeeb Basit, WH Wilson Tang, Duwayne Willett, Jarett Berry, Justin L Grodin, Ambarish Pandey
    European Journal of Heart Failure, 2019
  • Machine Learning to Predict the Risk of Incident Heart Failure Hospitalization Among Patients With Diabetes: The WATCH-DM Risk Score

    Matthew W Segar, Muthiah Vaduganathan, Kershaw V Patel, Darren K McGuire, Javed Butler, Gregg C Fonarow, Mujeeb Basit, Vaishnavi Kannan, Justin L Grodin, Brendan Everett, Duwayne Willett, Jarett Berry, Ambarish Pandey
    Diabetes Care, 2019