Abstract: A method and system for predicting the probability of sickness, the method comprising establishing a communication link between a sickness prediction application and a health tracking device having one or more measurement devices or sensors; inputting user symptoms utilizing the user device at one or more sickness timepoints; obtaining sensor or detection data from the health sensor at the sickness timepoint; generating sickness models, wherein the sickness model is a correlation of the user symptoms and the sensor data at the sickness timepoint; obtaining new sensor data from the health sensor at predetermined or other intervals; and comparing the new sensor data with the sickness model to predict the probability of the user having or developing an acute, new or recurring sickness.