Abstract: A method of predicting the risk of experiencing symptoms related to abnormal blood pressure and/or heart rate that includes obtaining subject heart rate variability data representing a number of HRV parameters, wherein the subject HRV data is generated based on heartbeat data obtained from an individual wearing a heart parameter sensor, providing the subject HRV data as an input to an artificial intelligence system, wherein the artificial intelligence system has been previously trained using training and test HRV data representing the number of HRV parameters obtained from a plurality of test subjects, and analyzing temporal data changes in or indicated by the subject HRV data in the artificial intelligence system to determine whether the individual is at risk of experiencing symptoms related to abnormal blood pressure and/or heart rate placing them at risk of a fall.