A preeclampsia diagnosis approach using Bayesian networks.
Mário W. L. MoreiraJoel J. P. C. RodriguesAntonio M. B. OliveiraRonaldo F. RamosKashif SaleemPublished in: ICC (2016)
Keyphrases
- bayesian networks
- diagnostic reasoning
- consistency based diagnosis
- model based diagnosis
- probability distribution
- probabilistic model
- naive bayes
- medical diagnosis
- fault diagnosis
- conditional probabilities
- probabilistic reasoning
- learning bayesian networks
- conditional independence
- automatic diagnosis
- fault detection
- model based reasoning
- random variables
- graphical models
- multiple faults
- bayesian network learning
- bayesian network classifiers
- complex domains
- inference in bayesian networks
- approximate inference
- hidden variables
- structure learning
- special case
- learning algorithm
- information systems
- knowledge base
- training data
- causal knowledge
- diagnostic process
- diagnostic tests
- medical diagnostic
- logistic regression
- expert knowledge
- root cause
- probabilistic inference
- parameter learning
- causal relationships