| CPC G06F 18/214 (2023.01) [G06N 3/045 (2023.01); G06N 3/088 (2013.01)] | 18 Claims |

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1. An electronic device comprising:
a sensor configured to acquire a biometric signal of a user;
a memory configured to store a measured variable of the user; and
a processor configured to:
receive biometric data of a plurality of other users and labeling data corresponding to the biometric data of the plurality of other users, wherein the labeling data comprises reference data related to medical diagnoses of measured physiological characteristics;
predict, using an unsupervised learning model, biometric data of the user based on the biometric signal of the user;
predict, using a supervised learning model, a biometric condition of the user based on the biometric data of the user, which is predicted by the unsupervised learning model, the biometric data of the plurality of other users, and the labeling data;
obtain other predicted biometric data of the user, using the supervised learning model, based on the biometric data of the user and the labeling data: and
obtain a personalized biometric data based on the predicted biometric data of the user and the biometric data of the plurality of other users,
wherein the biometric signal of the user corresponds to a sleep characteristic of the user,
wherein the biometric data of the plurality of other users corresponds to sleep conditions of the plurality of other users, and
wherein the biometric condition of the user corresponds to a sleep condition of the user.
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