Matthew W. Segar

Phenomapping of Patients with Heart Failure with Preserved Ejection Fraction Using Machine Learning-Based Unsupervised Cluster Analysis

Matthew W. Segar, Kershaw V. Patel, Colby Ayers et al. · European Journal of Heart Failure · 2019 · 286 citations · Full text

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 et al. · Diabetes Care · 2019 · 280 citations · Full text

Epigenetic Targeting of Ovarian Cancer Stem Cells

Yinu Wang, Horacio Cárdenas, Fang Fang et al. · Cancer Research · 2014 · 158 citations · Full text

Epigenetic Change, Dna Methylation, Ocsc Growth +16

Deep-Learning Models for the Echocardiographic Assessment of Diastolic Dysfunction

Ambarish Pandey, Nobuyuki Kagiyama, Naveena Yanamala et al. · JACC. Cardiovascular imaging · 2021 · 115 citations

Convolutional Neural Network, Engineering, Machine Learning +6

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

Matthew W. Segar, Byron C. Jaeger, Kershaw V. Patel et al. · Circulation · 2021 · 107 citations · Full text