Practice guidelines and clinical risk assessment models: is it time to reform? - Nariman Sepehrvand; Firouz Pakdel; Mohammad Rahimi-Rad; Babak Moosavi-Toomatari; Shahrzad Bazargan-Hejazi (BMC Medical Informatics Decis. Mak., 2011)

ECG for high-throughput screening of multiple diseases: Proof-of-concept using multi-diagnosis deep learning from population-based datasets. - Weijie Sun 004; Sunil Vasu Kalmady; Amir Salimi; Nariman Sepehrvand; Eric Ly; Abram Hindle; Russell Greiner; Padma Kaul (CoRR, 2022)

Improving ECG-based COVID-19 diagnosis and mortality predictions using pre-pandemic medical records at population-scale. - Weijie Sun 004; Sunil Vasu Kalmady; Nariman Sepehrvand; Luan Manh Chu; Zihan Wang 007; Amir Salimi; Abram Hindle; Russell Greiner; Padma Kaul (CoRR, 2022)

Towards artificial intelligence-based learning health system for population-level mortality prediction using electrocardiograms. - Weijie Sun 004; Sunil Vasu Kalmady; Nariman Sepehrvand; Amir Salimi; Yousef Nademi; Kevin Bainey; Justin A. Ezekowitz; Russell Greiner; Abram Hindle; Finlay A. McAlister; Roopinder K. Sandhu; Padma Kaul (npj Digit. Medicine, 2023)

Development and validation of machine learning algorithms based on electrocardiograms for cardiovascular diagnoses at the population level. - Sunil Vasu Kalmady; Amir Salimi; Weijie Sun 004; Nariman Sepehrvand; Yousef Nademi; Kevin Bainey; Justin A. Ezekowitz; Abram Hindle; Finlay A. McAlister; Russell Greiner; Roopinder K. Sandhu; Padma Kaul (npj Digit. Medicine, 2024)