Abstract

The present invention consists of a system for detecting people with suicidal risk that comprises: a structured questionnaire with a set of questions defined by a Bayesian predictive model of a person with suicidal risk; a central computer including a database with the responses of people to said structured questionnaire, said central computer is configured to run said Bayesian predictive model on said database, said predictive model comprises a model with machine learning and a Bayesian network with their nodes corresponding to the variables of said database, said variables are hierarchized by Bayesian inference, wherein said machine learning delivers a Bayesian predictive model with a precision of at least 0.7; and an additional terminal connected to said central computer configured to display structured information, wherein said structured information indicates an identification of a person with suicidal risk highlighting a variable subset of said database with a hierarchy superior to each other of a subset of variables of the model, the responses or complementary data of said person in said variables with higher hierarchy of said Bayesian predictive model.