Abstract: Systems and methods of analyzing user feedback in response to a cognition training program, including training at least one machine learning algorithm with a predefined dataset to predict a training success rate, wherein the pre-defined dataset includes previously received user feedback for users with known characteristics, receiving new user feedback, and determining a prediction of the Database training success rate with the at least one machine learning algorithm based on the received new user feedback.
Type:
Application
Filed:
May 4, 2020
Publication date:
July 21, 2022
Applicant:
ACERAR LTD.
Inventors:
Yael Gilutz, Shai Granot, Anna Izoutcheev