Popescu, Dan M. https://orcid.org/0000-0002-6323-5347
Shade, Julie K.
Lai, Changxin https://orcid.org/0000-0002-3585-5979
Aronis, Konstantinos N. https://orcid.org/0000-0001-7189-8434
Ouyang, David https://orcid.org/0000-0002-3813-7518
Moorthy, M. Vinayaga
Cook, Nancy R.
Lee, Daniel C. https://orcid.org/0000-0001-9447-4175
Kadish, Alan
Albert, Christine M.
Wu, Katherine C. https://orcid.org/0000-0003-4958-5145
Maggioni, Mauro
Trayanova, Natalia A. https://orcid.org/0000-0002-8661-063X
Article History
Received: 17 August 2021
Accepted: 24 February 2022
First Online: 7 April 2022
Change Date: 28 April 2022
Change Type: Correction
Change Details: A Correction to this paper has been published:
Change Details: https://doi.org/10.1038/s44161-022-00075-z
Competing interests
: The machine learning techniques for predicting sudden cardiac death survival discussed in this manuscript relate to pending US provisional patent application 63/287,395 naming Johns Hopkins University as the applicant and listing N.A.T., D.M.P., J.K.S. and M.M. as the inventors.