Systems, methods, and devices for utilizing predictive analytic analysis of circadian rhythm fluctuations to monitor breast wellness are disclosed. A wearable device may comprise a plurality of temperature sensors placed at predetermined positions on a subject. A set of temperature data collected from the wearable device over a period of time may be utilized to extract a plurality of non-linear features indicative of variability in temperature data. Classifier systems, including predictive models filter the non-linear features, and the filtered features may be used in a predictive model to determine a breast tissue classification.
