Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991-2020).
Roohallah AlizadehsaniMohamad RoshanzamirSadiq HussainAbbas KhosraviAfsaneh KoohestaniMohammad Hossein ZangooeiMoloud AbdarAdham BeykikhoshkAfshin ShoeibiAssef ZareMaryam PanahiazarSaeid NahavandiDipti SrinivasanAmir F. AtiyaU. Rajendra AcharyaPublished in: CoRR (2020)
Keyphrases
- probability theory
- medical data
- machine learning
- reasoning under uncertainty
- possibility theory
- belief functions
- decision theory
- data mining
- uncertainty management
- clinical data
- medical images
- conditional independence
- medical data mining
- medical information
- inference rules
- probabilistic logic
- handling uncertainty
- belief change
- medical records
- dempster shafer
- pattern recognition
- artificial intelligence
- natural language processing
- patient outcomes
- privacy sensitive
- data sets
- expected utility
- inductive logic programming
- knowledge acquisition
- information extraction
- knowledge representation
- computer science
- bayesian networks
- logic programs
- knowledge discovery
- decision making
- neural network