Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991

Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991–2020)

Published:2021-03-21 Issue: Volume: Page:
ISSN:0254-5330
Container-title:Annals of Operations Research
language:en
Short-container-title:Ann Oper Res

Author:

Alizadehsani Roohallah^ORCID,Roshanzamir Mohamad,Hussain Sadiq,Khosravi Abbas,Koohestani Afsaneh,Zangooei Mohammad Hossein,Abdar Moloud,Beykikhoshk Adham,Shoeibi Afshin,Zare Assef,Panahiazar Maryam,Nahavandi Saeid,Srinivasan Dipti,Atiya Amir F.,Acharya U. Rajendra

Publisher

Springer Science and Business Media LLC

Subject

Management Science and Operations Research,General Decision Sciences

Link

http://link.springer.com/content/pdf/10.1007/s10479-021-04006-2.pdf

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4. Alizadehsani, R., et al. (2019b). A database for using machine learning and data mining techniques for coronary artery disease diagnosis. Scientific Data, 6, 227. https://doi.org/10.1038/s41597-019-0206-3

5. Alizadehsani, R., et al. (2019c). Model uncertainty quantification for diagnosis of each main coronary artery stenosis. Soft Computing:1–12

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