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公开(公告)号：US10943696B2
公开(公告)日：2021-03-09
申请号：US15720786
申请日：2017-09-29
发明人： Panagiotis Demestichas , Aimilia Bantouna , Eleni Giannopoulou , Ioannis Stenos , Vera Alexandra Stavroulaki
摘要： 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.
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公开(公告)号：US20180096107A1
公开(公告)日：2018-04-05
申请号：US15720786
申请日：2017-09-29
发明人： Panagiotis Demestichas , Aimilia Bantouna , Eleni Giannopoulou , Ioannis Stenos , Vera Alexandra Stavroulaki
摘要： 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.
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