A cognitive state prediction method, system, and non-transitory computer readable medium, include a receiving circuit configured to receive an electronic message sent by a first user, a labeling circuit configured to query a second user to associate a label with the electronic message based on a cognitive state of the first user, and a correlating circuit configured to correlate the label with user data at a time of sending the electronic message, the user data corresponding to data output by at least one of the wearable and an external sensor in a database.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A cognitive state prediction system comprising: a receiving circuit configured to receive an electronic message sent by a first user; a labeling circuit configured to query a second user to associate a label with the electronic message based on a cognitive state of the first user; and a correlating circuit configured to correlate the label with user data at a time of sending the electronic message, the user data corresponding to data output by at least one of a wearable and an external sensor in a database. 2. The system of claim 1, further comprising an analyzing and label predicting circuit configured to predict a label of a current cognitive state of the first user based on current user data and a plurality of labels stored with the user data in the database. 3. The system of claim 1, further comprising an analyzing and label predicting circuit configured to: analyze the user data stored in the database; analyze a current state of the first user based on current user data being detected by at least one of the wearable and the external sensor; and predict a predicted label of a current cognitive state of the first user to send to associate with a current electronic message being sent by the first user. 4. The system of claim 3, wherein the predicted label includes a plurality of cognitive states of the first user, and wherein each of the plurality of cognitive states of the first user associated with the predicted label includes a confidence level for each of the plurality of cognitive states. 5. The system of claim 1, wherein the labeling circuit further queries the first user to confirm that the label input by the second user is correct for the electronic message. 6. The system of claim 1, wherein the database comprises an external database. 7. The system of claim 1, wherein the database includes pre-configured labels associated with user data of a cohort. 8. The system of claim 1, wherein the receiving circuit further receives electronic calendar data for the first user, and wherein the labeling circuit sends the electronic calendar data with the query to the second user. 9. The system of claim 1, wherein the labeling circuit sends electronic calendar data with the query to the second user such that the second user determines the label based on the cognitive state of the first user and the calendar data. 10. The system of claim 1, wherein the user data detected by at least one of the external sensor and the wearable includes at least one of: a glucose level; blood pressure; electrocardiogram (ECG); a breathing status; a heart rate; a stress level; a perspiration level; a facial expression; a measurement of a body movement; an eye movement; and a voice characteristic. 11. The system of claim 1, wherein the cognitive state of the first user that the second user associates the label with the electronic message comprises an interpreted cognitive state of the first user by the second user. 12. The system of claim 1, wherein the interpreted cognitive state of the first user by the second user is based on prior knowledge of the first user by the second user. 13. The system of claim 1, wherein the user data further includes data corresponding to a mode of the sending of the electronic message by the first user. 14. A cognitive state prediction method comprising: receiving an electronic message sent by a first user; querying a second user to associate a label with the electronic message based on a cognitive state of the first user; and correlating the label with user data at a time of sending the electronic message, the user data corresponding to data output by at least one of a wearable and an external sensor in a database. 15. The method of claim 14, further comprising analyzing and label predicting in which a label of a current cognitive state of the first user based on current user data and a plurality of labels stored with the user data in the database is predicted. 16. The method of claim 14, further comprising: analyzing the user data stored in the database; analyzing a current state of the first user based on current user data being detected by at least one of the wearable and the external sensor; and predicting a label of a current cognitive state of the first user to send to associate with a current electronic message being sent by the first user. 17. The method of claim 16, wherein the predicted label includes a plurality of cognitive states of the first user, and wherein each of the plurality of cognitive states of the first user associated with the predicted label includes a confidence level. 18. The method of claim 14, wherein the querying further queries the first user to confirm that the label input by the second user is correct for the electronic message. 19. The method of claim 14, wherein the database includes pre-configured labels associated with user data of a cohort. 20. A non-transitory computer-readable recording medium recording a cognitive state prediction program, the program causing a computer to perform: receiving an electronic message sent by a first user; querying a second user to associate a label with the electronic message based on a cognitive state of the first user; and correlating the label with user data at a time of sending the electronic message, the user data corresponding to data output by at least one of a wearable and an external sensor in a database.