Name
Title | ||
|---|---|---|
From complex questionnaire and interviewing data to intelligent Bayesian network models for medical decision support. |
Abstract | ||
|---|---|---|
•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. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.artmed.2016.01.002 | Artificial Intelligence in Medicine |
Keywords | Field | DocType |
Decision support,Expert knowledge,Bayesian networks,Belief networks,Causal intervention,Questionnaire data,Survey data,Mental health,Criminology,Forensic psychiatry | Decision analysis,Data mining,Inference,Computer science,Decision support system,Bayesian network,Risk management,Application domain,Artificial intelligence,Novelty,Machine learning,Bayes' theorem | Journal |
Volume | Issue | ISSN |
67 | C | 0933-3657 |
Citations | PageRank | References |
20 | 0.94 | 24 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anthony C. Constantinou | 1 | 89 | 11.41 |
| Norman E. Fenton | 2 | 2331 | 235.25 |
| William Marsh | 3 | 250 | 16.57 |
| Łukasz Radliński | 4 | 89 | 5.34 |