(psychophysiological vulnerability detection system related to suicide risk of Bayesian artificial intelligence model)

摘要

This is a system for detecting people at risk of suicide, which includes: a structured questionnaire with a set of questions based on the prediction model of people at risk of suicide in Bavaria; a central computer with a database of individual responses to the model. Structured questionnaire. The host is configured to execute the Bayesian prediction model based on the database. The prediction model includes an M amp Learning Model; Aacute; quina and a Bayesian network. Its nodes are equivalent to the database variables,These variables are graded by Bayesian inference. In Bayesian inference, M amp Learning; Aacute; quina provides a Bayesian prediction model with accuracy and precision; oacute; n at least 0.7; and an additional terminal connected to the host, configured to display CI amp; oacute; n structured information. This information (CI amp; oacute; n structured) shows the identification characteristics of people at risk of suicide; oacute; n exports a variable subset with level and provincial level from the database; Iacute; is higher than the variable subset of the model variable subset,a. This person's response or supplementary data in these variables, including hierarchical and provincial institutions; Iacute; is higher than the above Bayesian prediction model; / P