From complex questionnaire and interviewing data to intelligent Bayesian network models for medical decision support
作者：
Highlights：
• A method for developing Bayesian networks based on both data and knowledge.
• The method targets complex questionnaire and interviewing medical data.
• The objective is to provide real-world decision support and risk management.
• The method is based on two original and validated applications in forensic psychiatry.
• Both applications provide improvements in predictive accuracy and decision support.
摘要
•A method for developing Bayesian networks based on both data and knowledge.•The method targets complex questionnaire and interviewing medical data.•The objective is to provide real-world decision support and risk management.•The method is based on two original and validated applications in forensic psychiatry.•Both applications provide improvements in predictive accuracy and decision support.
论文关键词：Decision support,Expert knowledge,Bayesian networks,Belief networks,Causal intervention,Questionnaire data,Survey data,Mental health,Criminology,Forensic psychiatry
论文评审过程：Received 17 June 2015, Revised 4 January 2016, Accepted 7 January 2016, Available online 16 January 2016, Version of Record 15 March 2016.
论文官网地址：https://doi.org/10.1016/j.artmed.2016.01.002
