Systems and methods for selecting an intervention based on effective age

A system for selecting an intervention based on effective age, the system comprising:

• at least a server, the at least a server designed and configured to:
• obtain user data from a user database, wherein the user data comprises data corresponding to user tests and a user chronological age;
• project an actuarial life expectancy using the user chronological age;
• calculate a variance between the actuarial life expectancy and a projected actual mortality date, wherein calculating the variance comprises:
• receiving training data, wherein the training data correlates an aspect of the user data to the variance between the actuarial life expectancy and a projected actual mortality date;
• generating, using a supervised machine learning process, a machine learning model that receives one or more aspects of the user data as inputs and produces an output of the variance between the actuarial life expectancy and a projected actual mortality date;
• and
• determining the variance between the actuarial life expectancy and a projected actual mortality date using the machine learning model;
• generate a plurality of interventions, wherein each intervention of the plurality of interventions comprises an intervention vector having a plurality of intervention vector entries, wherein each intervention vector entry indicates a degree of impact;
• and
• select an intervention from the plurality of interventions as a function of the degrees of impact and the variance between the actuarial life expectancy and a projected actual mortality date.