A system, comprising: sensor circuitry, including a communication circuit, configured to obtain a physical measurement associated with a user, the physical measurement comprising one or more of: a physiological signal from the user, an atmospheric measurement from the environment surrounding or near the user, motion data of the user and global positioning data, and to communicate the physical measurement; and logic circuitry configured to: generate a predictive model that indicates a probability of the user having a hot flash at a date and time, wherein generating the predictive model comprises, based on a plurality of input parameters including reported hot flashes and timing information, identifying a plurality of patterns of the reported hot flashes and the input parameters, wherein: the plurality of input parameters further includes parameters selected from a group consisting of: calendar or schedule data, lifestyle data, environmental data, health information including a plurality of physical measurements, and combinations thereof; and the plurality of physical measurements includes physiological signals of heart rate, skin conductance, and blood pressure; based on the predictive model, including the plurality of patterns, and additionally received input parameters, identify the probability of the user having a hot flash at the date and time; input the physical measurement into the predictive model to generate a revised probability; and communicate data indicative of an action in response to the revised probability being outside a threshold indicative of a hot flash that is predicted to occur or to imminently occur for the user, wherein the action is to proactively mitigate or prevent the hot flash that is predicted to occur or to imminently occur. sensor circuitry, including a communication circuit, configured to obtain a physical measurement associated with a user, the physical measurement comprising one or more of: a physiological signal from the user, an atmospheric measurement from the environment surrounding or near the user, motion data of the user and global positioning data, and to communicate the physical measurement; and logic circuitry configured to: generate a predictive model that indicates a probability of the user having a hot flash at a date and time, wherein generating the predictive model comprises, based on a plurality of input parameters including reported hot flashes and timing information, identifying a plurality of patterns of the reported hot flashes and the input parameters, wherein: the plurality of input parameters further includes parameters selected from a group consisting of: calendar or schedule data, lifestyle data, environmental data, health information including a plurality of physical measurements, and combinations thereof; and the plurality of physical measurements includes physiological signals of heart rate, skin conductance, and blood pressure; based on the predictive model, including the plurality of patterns, and additionally received input parameters, identify the probability of the user having a hot flash at the date and time; input the physical measurement into the predictive model to generate a revised probability; and communicate data indicative of an action in response to the revised probability being outside a threshold indicative of a hot flash that is predicted to occur or to imminently occur for the user, wherein the action is to proactively mitigate or prevent the hot flash that is predicted to occur or to imminently occur. the plurality of input parameters further includes parameters selected from a group consisting of: calendar or schedule data, lifestyle data, environmental data, health information including a plurality of physical measurements, and combinations thereof; and the plurality of physical measurements includes physiological signals of heart rate, skin conductance, and blood pressure; based on the predictive model, including the plurality of patterns, and additionally received input parameters, identify the probability of the user having a hot flash at the date and time; input the physical measurement into the predictive model to generate a revised probability; and communicate data indicative of an action in response to the revised probability being outside a threshold indicative of a hot flash that is predicted to occur or to imminently occur for the user, wherein the action is to proactively mitigate or prevent the hot flash that is predicted to occur or to imminently occur.