Deep neural network-estimated electrocardiographic age as a mortality predictor
2021 · Nature Communications · 212 citations
https://doi.org/10.1038/s41467-021-25351-7
G
Gabriela Paixão
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Gabriela Paixão is an academic researcher from Universidade Federal de Minas Gerais. The author has contributed to research in topics: ECG Monitoring and Analysis & Machine Learning in Healthcare & Cardiac electrophysiology and arrhythmias. The author has an h-index of 14, co-authored 63 publications.
ORCID: 0000-0003-1349-1745Papers by this author
worksTele-electrocardiography and bigdata: The CODE (Clinical Outcomes in Digital Electrocardiography) study
2019 · Journal of Electrocardiology · 84 citations
https://doi.org/10.1016/j.jelectrocard.2019.09.008
Machine Learning na Medicina: Revisão e Aplicabilidade
2022 · Arquivos Brasileiros de Cardiologia · 40 citations
https://doi.org/10.36660/abc.20200596
Deep neural network estimated electrocardiographic-age as a mortality predictor
2021 · medRxiv · 20 citations
https://doi.org/10.1101/2021.02.19.21251232
Upscaling a regional telecardiology service to a nationwide coverage and beyond: the experience of the Telehealth Network of Minas Gerais
2025 · BMJ Global Health · 4 citations
https://doi.org/10.1136/bmjgh-2024-016692
Annotated 12-lead ECG dataset
2020 · Figshare · 3 citations
https://doi.org/10.5281/zenodo.3765780
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