System and method for predictive determination of factors that afflict mental state of a user

A system for predictive determination of factors that afflict mental state of a user, the system in communication with a measurement device, the system comprising one or more processors and a memory, the one or more processors configured to execute:

• a collection module to receive data associated with information that can afflict a mental state of the user from the measurement device and data associated with events affecting the user;
• a first machine learning module to determine anomalies in a mental state of the user using a trained first machine learning model, the first machine learning model trained using at least a subset of the data associated with information that can afflict a mental state of the user and the data associated with events affecting the user, the first machine learning model outputting a binary classifier indicating either that the user is in a normal mental state and or that the user is in an anomalous mental state;
• a second machine learning module to determine a mental state of the user using a trained second machine learning model, the second machine learning model trained using the determined anomalies and at least a subset of the data associated with information that can afflict a mental state of the user and the data associated with events affecting the user, the subset of the data associated with information that can afflict a mental state of the user comprises user input with respect to the mental state of the user, the second machine learning model outputting a probability of the mental state of the user being either ordinary or extraordinary;
• and
• an output module to output at least one of the binary classifier and the probability of the mental state of the user.