System for forecasting a mental state of a subject and method

A computer-based forecasting system for generating a prediction of the evolution of a mental state of a living subject likely to suffer from a mental disorder, the prediction being generated from time-dependent signals acquired beforehand on the subject, the system comprising:

• a. A signal processing module for generating, from the time-dependent signals, at least two feature sets comprising time-series of a plurality of extracted features, each feature set relating to a symptom of the mental disorder,
• b. A hierarchical scoring module comprising at least one predictor comprising at least one machine learning (ML) algorithm for processing the at least two feature sets and generating for each feature set, an evaluation of a respective temporal sub-score, and,
• c. A forecasting module comprising a processing module for processing the evaluated temporal sub-scores through at least one machine learning (ML) algorithm and generating a prediction of the evolution of at least one indicator related to the mental state of the subject and/or of the mental state of the subject.