Publication Author: Kalmady SV
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Diagnostic and Prognostic Models Based on Electrocardiograms for Rapid Clinical Applications.
Islam MS, Kalmady SV, Hindle A, Sandhu R, Sun W, Sepehrvand N, Greiner R, Kaul P.
Development and validation of machine learning algorithms based on electrocardiograms for cardiovascular diagnoses at the population level.
Kalmady SV, Salimi A, Sun W, Sepehrvand N, Nademi Y, Bainey K, Ezekowitz J, Hindle A, McAlister F, Greiner R, Sandhu R, Kaul P.
Generative Data by β-Variational Autoencoders Help Build Stronger Classifiers: ECG Use Case
Nademi Y, Kalmady SV, Sun W, Salimi A, Hindle A, Kaul P, Greiner R.
Supervised Electrocardiogram(ECG) Features Outperform Knowledge-based And Unsupervised Features In Individualized Survival Prediction.
Nademi Y, Kalmady SV, Sun W, Qi S, Hindle A, Kaul P, Greiner R.
Development and validation of echocardiography-based machine-learning models to predict mortality.
Valsaraj A, Kalmady SV, Sharma V, Frost M, Sun W, Sepehrvand N, Ong M, Equibec C, Dyck JRB, Anderson T, Becher H, Weeks S, Tromp J, Hung CL, Ezekowitz JA, Kaul P.
Towards artificial intelligence-based learning health system for population-level mortality prediction using electrocardiograms.
Sun W, Kalmady SV, Sepehrvand N, Salimi A, Nademi Y, Bainey K, Ezekowitz JA, Greiner R, Hindle A, McAlister FA, Sandhu RK, Kaul P.