Statistical analysis of subject progress and responsive generation of influencing digital content

A system comprising one or more processors and memory operably coupled with the one or more processors, wherein the memory stores instructions that, in response to execution of the instructions by one or more processors, cause the one or more processors to perform the following operations:

• receiving, via one or more input components of one or more computing devices, a plurality of sets of data points pertaining to health of a subject;
• assigning one or more weights to one or more of the plurality of data points in each set of data points of the plurality of sets of data points;
• determining a time series of progress scores associated with the subject, wherein each progress score of the time series of progress scores is determined based on data points of the corresponding set of data points of the plurality of sets of data points and one or more of the weights;
• applying auto-regressive integrated moving average (“ARIMA”) analysis to the time series of progress scores;
• predicting, based on the ARIMA analysis, one or more future progress scores associated with the subject;
• generating or selecting influencing digital content based on the one or more future progress scores;
• and
• causing the influencing digital content to be presented to the subject via one or more output components of one or more of the computing devices.

At least one non-transitory computer-readable medium comprising instructions that, in response to execution of the instructions by one or more processors, cause the one or more processors to perform the following operations:

• receiving, via one or more input components of one or more computing devices, a plurality of sets of data points pertaining to health of a subject;
• assigning one or more weights to one or more of the plurality of data points in each set of data points of the plurality of sets of data points;
• determining a time series of progress scores associated with the subject, wherein each progress score of the time series of progress scores is determined based on data points of the corresponding set of data points of the plurality of sets of data points and one or more of the weights;
• applying auto-regressive integrated moving average (“ARIMA”) analysis to the time series of progress scores;
• predicting, based on the ARIMA analysis, one or more future progress scores associated with the subject;
• generating or selecting influencing digital content based on the one or more future progress scores;
• and
• causing the influencing digital content to be presented to the subject via one or more output components of one or more of the computing devices.