Binarized multi-gate mixture of Bayesian experts for cardiac syndrome X diagnosis: A clinician-in-the-loop scenario with a belief-uncertainty fusion paradigm.
Moloud AbdarArash MehrzadiMilad GoudarziFarzad MasoudkabirLeonardo RundoMohammad MamoueiEvis SalaAbbas KhosraviVladimir MakarenkovU. Rajendra AcharyaSeyedmohammad SaadatagahMohammadreza NaderianSalvador GarcíaNizal SarrafzadeganSaeid NahavandiPublished in: Inf. Fusion (2023)
Keyphrases
- dempster shafer
- belief functions
- multi sensor
- decision theory
- heart disease
- expected utility
- clinically relevant
- clinical data
- traditional chinese medicine
- data fusion
- mixture model
- spect images
- medical diagnosis
- fusion method
- probability measures
- diagnostic tool
- model based diagnosis
- obstructive sleep apnea
- evidential reasoning
- subjective probabilities
- bayesian networks
- posterior probability
- single photon emission computed tomography
- probability theory
- decision support
- fault diagnosis
- document images
- decision making
- input image
- decision support system
- expectation maximization
- domain experts
- posterior distribution
- medical knowledge
- patient specific
- image fusion
- clinical practice
- belief revision
- information fusion
- image analysis
- decision theoretic