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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yang, X | - |
dc.contributor.author | Khushi, M | - |
dc.contributor.author | Shaukat, K | - |
dc.coverage.spatial | Gold Coast, Australia | - |
dc.date.accessioned | 2023-08-23T07:30:15Z | - |
dc.date.available | 2023-08-23T07:30:15Z | - |
dc.date.issued | 2020-12-16 | - |
dc.identifier | ORCID iD: Matloob Khushi https://orcid.org/0000-0001-7792-2327 | - |
dc.identifier.citation | Yang, X., Khushi, M. and Shaukat, K. (2020) 'Biomarker CA125 Feature Engineering and Class Imbalance Learning Improves Ovarian Cancer Prediction', 2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2020. Gold Coast, Australia, 16-18 December, pp. 1 - 6. doi: 10.1109/CSDE50874.2020.9411607. | en_US |
dc.identifier.isbn | 978-1-6654-1974-1 (ebk) | - |
dc.identifier.isbn | 978-1-6654-2991-7 (PoD) | - |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/27032 | - |
dc.format.extent | 1 - 6 | - |
dc.format.medium | Print-Electronic | - |
dc.language | English | - |
dc.language.iso | en_US | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
dc.rights | Copyright © 2020 Institute of Electrical and Electronics Engineers (IEEE). Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works by sending a request to pubs-permissions@ieee.org. For more information, see https://journals.ieeeauthorcenter.ieee.org/become-an-ieee-journal-author/publishing-ethics/guidelines-and-policies/post-publication-policies/ | - |
dc.rights.uri | https://journals.ieeeauthorcenter.ieee.org/become-an-ieee-journal-author/publishing-ethics/guidelines-and-policies/post-publication-policies/ | - |
dc.source | 2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) | - |
dc.source | 2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) | - |
dc.subject | machine learning | en_US |
dc.subject | feature engineering | en_US |
dc.subject | class imbalance | en_US |
dc.subject | ovarian cancer | en_US |
dc.title | Biomarker CA125 Feature Engineering and Class Imbalance Learning Improves Ovarian Cancer Prediction | en_US |
dc.type | Article | en_US |
dc.identifier.doi | https://doi.org/10.1109/CSDE50874.2020.9411607 | - |
dc.relation.isPartOf | 2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2020 | - |
pubs.finish-date | 2020-12-18 | - |
pubs.finish-date | 2020-12-18 | - |
pubs.publication-status | Published | - |
pubs.start-date | 2020-12-16 | - |
pubs.start-date | 2020-12-16 | - |
dc.rights.holder | Institute of Electrical and Electronics Engineers (IEEE) | - |
Appears in Collections: | Dept of Computer Science Research Papers |
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FullText.pdf | Copyright © 2020 Institute of Electrical and Electronics Engineers (IEEE). Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works by sending a request to pubs-permissions@ieee.org. For more information, see https://journals.ieeeauthorcenter.ieee.org/become-an-ieee-journal-author/publishing-ethics/guidelines-and-policies/post-publication-policies/ | 177.79 kB | Adobe PDF | View/Open |
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