A Phenomapping Tool and Clinical Score to Identify Low Diuretic Efficiency in Acute Decompensated Heart FailureMatthew 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 PandeyJACC: Heart Failure
2024[URL]
2021
Development and Validation of Machine Learning-Based Race-Specific Models to Predict 10-Year Risk of Heart Failure: A Multi-Cohort AnalysisMatthew 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 PandeyCirculation
2021[URL]
Development & Validation of Optimal Phenomapping Methods to Estimate Long-term Atherosclerotic Cardiovascular Disease Risk in Patients with Type 2 DiabetesMatthew 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 PandeyDiabetologia
2021[URL]
2019
Phenomapping of patients with heart failure with preserved ejection fraction using machine learningābased unsupervised cluster analysisMatthew W Segar, Kershaw V Patel, Colby Ayers, Mujeeb Basit, WH Wilson Tang, Duwayne Willett, Jarett Berry, Justin L Grodin, Ambarish PandeyEuropean Journal of Heart Failure
2019[URL]
Machine Learning to Predict the Risk of Incident Heart Failure Hospitalization Among Patients With Diabetes: The WATCH-DM Risk ScoreMatthew 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 PandeyDiabetes Care
2019[URL]