Machine Learning Algorithms: Selection of Appropriate Validation Populations for Cardiology Research-Be Careful!

Autor: Sanders WE Jr; CorVista Health, Inc, Washington, DC, USA.; University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA., Khedraki R; Scripps Clinic, San Diego, California, USA., Rabbat M; Loyola University Medical Center, Maywood, Illinois, USA., McMinn TR; Austin Heart, Austin, Texas, USA., Burton T; CorVista Health, Toronto, Ontario, Canada., Khosousi A; CorVista Health, Toronto, Ontario, Canada., Fathieh F; CorVista Health, Toronto, Ontario, Canada., Gillins HR; CorVista Health, Inc, Washington, DC, USA., Ramchandani S; CorVista Health, Toronto, Ontario, Canada., Shadforth IP; CorVista Health, Inc, Washington, DC, USA.
Jazyk: angličtina
Zdroj: JACC. Advances [JACC Adv] 2023 Jan 11; Vol. 2 (1), pp. 100166. Date of Electronic Publication: 2023 Jan 11 (Print Publication: 2023).
DOI: 10.1016/j.jacadv.2022.100166
Abstrakt: Competing Interests: CorVista Health funded the collection of subject data. Dr Sanders, Mr Burton, Dr Khosousi, Dr Fathieh, Dr Ramchandani, and Mr Shadforth are employees of CorVista Health. Dr Rabbat is a member of the Medical Advisory Board for CorVista Health. All other authors have reported that they have no relationships relevant to the contents of this paper to disclose.
Databáze: MEDLINE