Prediction of Cardiovascular Parameters With Supervised Machine Learning From Singapore "I" Vessel Assessment and OCT-Angiography: A Pilot Study.
Fiche publication
Date publication
novembre 2021
Journal
Translational vision science & technology
Auteurs
Membres identifiés du Cancéropôle Est :
Pr BINQUET Christine, Pr COTTIN Yves
Tous les auteurs :
Arnould L, Guenancia C, Bourredjem A, Binquet C, Gabrielle PH, Eid P, Baudin F, Kawasaki R, Cottin Y, Creuzot-Garcher C, Jacquir S
Lien Pubmed
Résumé
Assessment of cardiovascular risk is the keystone of prevention in cardiovascular disease. The objective of this pilot study was to estimate the cardiovascular risk score (American Hospital Association [AHA] risk score, Syntax risk, and SCORE risk score) with machine learning (ML) model based on retinal vascular quantitative parameters.
Référence
Transl Vis Sci Technol. 2021 Nov 1;10(13):20