System implementing encoder-decoder neural network adapted to prediction in behavioral and/or physiological contexts

A system comprising:

• at least one processing device comprising a processor coupled to a memory;
• the processing device being configured:
• to obtain data characterizing a given subject over time;
• to apply at least a portion of the obtained data to an encoder-decoder neural network adapted to generate a prediction of at least one change in at least one of behavior and physiology of the given subject from the obtained data;
• and
• to execute at least one automated remedial action relating to the given subject based at least in part on the generated prediction;
• the encoder-decoder neural network being configured to learn one or more subject-specific anomaly thresholds based at least in part on reconstruction error of the encoder-decoder neural network.

A computer program product comprising a non-transitory processor-readable storage medium having stored therein program code of one or more software programs, wherein the program code, when executed by at least one processing device comprising a processor coupled to a memory, causes the processing device:

• to obtain data characterizing a given subject over time;
• to apply at least a portion of the obtained data to an encoder-decoder neural network adapted to generate a prediction of at least one change in at least one of behavior and physiology of the given subject from the obtained data;
• and
• to execute at least one automated remedial action relating to the given subject based at least in part on the generated prediction;
• the encoder-decoder neural network being configured to learn one or more subject-specific anomaly thresholds based at least in part on reconstruction error of the encoder-decoder neural network.