Patents by Inventor Vera Alexandra Stavroulaki

Vera Alexandra Stavroulaki has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • System and method for personalized migraine prediction powered by machine learning
    Patent number: 10943696
    Abstract: The present disclosure relates to a system, method, and computer program for predicting migraines using machine learning. More specifically, the system predicts the likelihood that a user will have a migraine within a certain period of time (e.g., a month) based on migraine causes/triggers X1 . . . n identified from a migraine pattern built using deep neural networks. The system collects data from the user with respect to his/her profile, his/her migraine incidents (having experienced a migraine or not) and his/her daily habits. Based on these data, it creates the user's migraine pattern and combines this pattern with the migraine patterns from similar users (when necessary). As a result, it is able to predict the probability of getting a migraine within a period of time.
    Type: Grant
    Filed: September 29, 2017
    Date of Patent: March 9, 2021
    Assignee: WINGS ICT Solutions Ltd.
    Inventors: Panagiotis Demestichas, Aimilia Bantouna, Eleni Giannopoulou, Ioannis Stenos, Vera Alexandra Stavroulaki
  • SYSTEM AND METHOD FOR PERSONALIZED MIGRAINE PREDICTION POWERED BY MACHINE LEARNING
    Publication number: 20180096107
    Abstract: The present disclosure relates to a system, method, and computer program for predicting migraines using machine learning. More specifically, the system predicts the likelihood that a user will have a migraine within a certain period of time (e.g., a month) based on migraine causes/triggers X1 . . . n identified from a migraine pattern built using deep neural networks. The system collects data from the user with respect to his/her profile, his/her migraine incidents (having experienced a migraine or not) and his/her daily habits. Based on these data, it creates the user's migraine pattern and combines this pattern with the migraine patterns from similar users (when necessary). As a result, it is able to predict the probability of getting a migraine within a period of time.
    Type: Application
    Filed: September 29, 2017
    Publication date: April 5, 2018
    Inventors: Panagiotis Demestichas, Aimilia Bantouna, Eleni Giannopoulou, Ioannis Stenos, Vera Alexandra Stavroulaki