Methodology for the Detection of Risk States in Emotional Disorders

People who have a mental illness suffer from emotional disorders that should ideally be predicted before they happen. However, this is still a difficult problem because it can be triggered differently for each person. Our approach is focused on defining a methodology to detect factors or risk states, analysing data from different data sources and identifying the most relevant variables that can be used to characterize people's emotional state. This detailed information about a person can be used to predict an emotional disorder through a mathematical model, for instance.