Artificial Intelligence
Prediction of manifest refraction using machine learning ensemble models on wavefront aberrometry data
Carlos S. Hernándeza,b,c, Andrea Gila,b,c, Ignacio Casaresa,c, Jesús Poderosoa,c, Alec Wehseb, Shivang R. Daveb, Daryl Limb, Manuel Sánchez-Montañésd, Eduardo Lagea,b,c,
Corresponding author
eduardo.lage@uam.es
Corresponding author at: Department of Electronics and Communications Technology, Escuela Politécnica Superior, Universidad Autónoma de Madrid, Spain.
Corresponding author at: Department of Electronics and Communications Technology, Escuela Politécnica Superior, Universidad Autónoma de Madrid, Spain.
a Department of Electronics and Communications Technology, Escuela Politécnica Superior, Universidad Autónoma de Madrid, Spain
b PlenOptika, Inc., Boston, MA, USA
c Instituto de Investigación Sanitaria Fundación Jiménez Diaz, Madrid, Spain
d Department of Computer Science. Escuela Politécnica Superior, Universidad Autónoma de Madrid, Spain
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