Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991-2020).
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| Title: | Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991-2020). |
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| Authors: | Alizadehsani R; Institute for Intelligent Systems Research and Innovations (IISRI), Deakin University, Geelong, Australia., Roshanzamir M; Department of Computer Engineering, Faculty of Engineering, Fasa University, 74617-81189 Fasa, Iran., Hussain S; System Administrator, Dibrugarh University, Dibrugarh, Assam 786004 India., Khosravi A; Institute for Intelligent Systems Research and Innovations (IISRI), Deakin University, Geelong, Australia., Koohestani A; Institute for Intelligent Systems Research and Innovations (IISRI), Deakin University, Geelong, Australia., Zangooei MH; University of Texas At Dallas, Dallas, USA., Abdar M; Institute for Intelligent Systems Research and Innovations (IISRI), Deakin University, Geelong, Australia., Beykikhoshk A; Applied Artificial Intelligence Institute, Deakin University, Geelong, Australia., Shoeibi A; Computer Engineering Department, Ferdowsi University of Mashhad, Mashhad, Iran.; Faculty of Electrical and Computer Engineering, Biomedical Data Acquisition Lab, K. N. Toosi University of Technology, Tehran, Iran., Zare A; Faculty of Electrical Engineering, Gonabad Branch, Islamic Azad University, Gonabad, Iran., Panahiazar M; Institute for Computational Health Sciences, University of California, San Francisco, USA., Nahavandi S; Institute for Intelligent Systems Research and Innovations (IISRI), Deakin University, Geelong, Australia., Srinivasan D; Dept. of Electrical and Computer Engineering, National University of Singapore, Singapore, 117576 Singapore., Atiya AF; Department of Computer Engineering, Faculty of Engineering, Cairo University, Cairo, 12613 Egypt., Acharya UR; Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore, Singapore.; Department of Biomedical Engineering, School of Science and Technology, Singapore University of Social Sciences, Singapore, Singapore.; Department of Bioinformatics and Medical Engineering, Asia University, Taichung, Taiwan. |
| Source: | Annals of operations research [Ann Oper Res] 2021 Mar 21, pp. 1-42. Date of Electronic Publication: 2021 Mar 21. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Country of Publication: United States NLM ID: 101608624 Publication Model: Print-Electronic Cited Medium: Print ISSN: 0254-5330 (Print) Linking ISSN: 02545330 NLM ISO Abbreviation: Ann Oper Res |
| Database: | MEDLINE Ultimate |
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| ISSN: | 0254-5330 |
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| DOI: | 10.1007/s10479-021-04006-2 |
