Bayesian Networks for the Diagnosis and Prognosis of Diseases: A Scoping Review.
Kristina PolotskayaCarlos S. Muñoz-ValenciaAlejandro RabasaJose A. Quesada-RicoDomingo Orozco-BeltránXavier BarberPublished in: Mach. Learn. Knowl. Extr. (2024)
Keyphrases
- bayesian networks
- fault diagnosis
- diagnostic reasoning
- clinically relevant
- diagnostic process
- disease diagnosis
- cardiovascular disease
- neurodegenerative diseases
- early diagnosis
- medical diagnosis
- fault detection
- model based diagnosis
- clinical diagnosis
- probabilistic reasoning
- multiple faults
- incomplete data
- probabilistic inference
- early detection
- breast cancer
- conditional probabilities
- therapy planning
- learning bayesian networks
- probabilistic model
- graphical models
- medical practitioners
- traditional chinese medicine
- naive bayes
- structure learning
- expert knowledge
- random variables
- machine learning methods
- structural models
- inference in bayesian networks
- conditional independence
- expert systems
- hidden variables
- influence diagrams
- data mining