Patent US10206572 AI Biotech/Diagnostics: Cardio

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Carrot, Inc.

Patent US10206572

Issued 2019-02-19

Systems And Methods For Quantification Of, And Prediction Of Smoking Behavior

Systems and methods for monitoring of biometric and contextual variables to assist in screening for, quantification of, and prediction of smoking behavior, and for assisting in smoking cessation are described.

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6 Independent Claims

1. A method identifying a smoking behavior of an individual, the method comprising: recording a plurality of behavioral data supplied by the individual where the behavioral data is non-biologic; obtaining a plurality of biologic data from the individual; quantifying a smoking exposure of the individual using the plurality of biologic data; compiling a behavior summary, where the behavior summary includes an association of at least one of the plurality of behavioral data and the smoking exposure; and providing at least a portion of the behavior summary to a user interface structured to display the at least one of the plurality of behavioral data in association with the smoking exposure, where the user interface is configured to permit the individual to observe data in the behavior summary to inform the individual about how the individual's behavior affects the individual's smoking behavior.
22. The method of 21, where obtaining the plurality of samples of exhaled air from the individual over the period of time and recording the collection time of each sample of exhaled air comprises sequentially obtaining the plurality of sample of exhaled air.
23. The method of 21, where quantifying the exposure of exhaled carbon monoxide comprises correlating a function of exhaled carbon monoxide versus time.
24. The method of 23, further comprising obtaining an area of exhaled carbon monoxide and time under a curve defined by the function over the interval of time.
26. The method of 21, further comprising alerting the individual on a repeating basis to provide the sample of exhaled air over the period of time.
30. A method of identifying a smoking behavior of an individual, comprising: obtaining a plurality of biologic data from the individual; quantifying a smoking exposure of the individual using the plurality of biologic data; generating a behavior summary by correlating a plurality of behavioral data supplied by the individual with the smoking exposure where the behavioral data is non-biologic; and providing at least a portion of the behavior summary to a user interface structured to display the at least one of the plurality of behavioral data in association with the smoking exposure, where the user interface is configured to permit the individual to access data in the behavior summary to inform the individual how the individual's behavior affects the individual's smoking behavior.