Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991–2020)
Version 2 2024-06-05, 12:06
Version 1 2021-04-08, 08:36
journal contribution
posted on 2021-01-01, 00:00 authored by Roohallah Alizadehsani, M Roshanzamir, S Hussain, Abbas KhosraviAbbas Khosravi, Afsaneh Koohestani, M H Zangooei, Moloud Abdar, A Beykikhoshk, A Shoeibi, A Zare, M Panahiazar, Saeid Nahavandi, D Srinivasan, A F Atiya, U R AcharyaHandling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991–2020)
History
Journal
Annals of Operations ResearchPagination
1 - 42Publisher
SpringerLocation
Berlin, GermanyPublisher DOI
Link to full text
ISSN
0254-5330eISSN
1572-9338Language
EnglishPublication classification
C1 Refereed article in a scholarly journalUsage metrics
Categories
No categories selectedKeywords
Bayesian inferenceClassificationFuzzy systemsMachine learningMonte Carlo simulationOperations Research & Management ScienceScience & TechnologyTechnologyUncertaintyMONTE-CARLO-SIMULATIONDEMPSTER-SHAFER THEORYFUZZY INFERENCE SYSTEMBAYESIAN-INFERENCEDECISION-MAKINGROUGH SETNEURAL-NETWORKSOFT SETSCOMPONENT ANALYSISK-NN
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC