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dc.contributor.authorWen, Lian
dc.contributor.authorQiu, Wuqi
dc.contributor.authorMu, Kedian
dc.date.accessioned2020-10-09T00:24:49Z
dc.date.available2020-10-09T00:24:49Z
dc.date.issued2020
dc.identifier.issn2737-4106en_US
dc.identifier.doi10.37256/ccds.112020445en_US
dc.identifier.urihttp://hdl.handle.net/10072/398244
dc.description.abstractCancer screening programs have been implemented in many different countries for many years to collect information of the fatal diseases, to provide early diagnosis, to support medical research, and to help governments making policies. However, few of those programs have utilized latest data science technologies, therefore not be able to generate the maximum benefits from those programs. To overcome this problem and improve the quality of cancer screening programs, this paper firstly (i) reviews the typical architecture and IT technologies used in current screening programs and recognizes their limitations; then (ii) introduces recent developments in data science that could be implemented in screening programs; finally (iii) proposes the structure of General Medical Screening Framework (GMSF), which could be developed to host future cancer screening programs that will advance data coverage, data accuracy, data usage and lower in the costs. The structure of GMSF and its key elements are described in this paper and some practical approaches to build GMSF are discussed. This work might initialize a series or research to bring the latest IT technologies, particularly data science technologies, into cancer screening programs, and significantly increase the efficiency and reduce the cost of future cancer screening programs.en_US
dc.description.peerreviewedYesen_US
dc.description.sponsorshipGriffith Universityen_US
dc.publisherUniversal Wiser Publisher Pte. Ltden_US
dc.relation.ispartofpagefrom31en_US
dc.relation.ispartofpageto39en_US
dc.relation.ispartofissue1en_US
dc.relation.ispartofjournalCloud Computing and Data Scienceen_US
dc.relation.ispartofvolume1en_US
dc.subject.fieldofresearchInformation and Computing Sciencesen_US
dc.subject.fieldofresearchOncology and Carcinogenesisen_US
dc.subject.fieldofresearchNanomedicineen_US
dc.subject.fieldofresearchcode08en_US
dc.subject.fieldofresearchcode1112en_US
dc.subject.fieldofresearchcode100709en_US
dc.titleApplying Latest Data Science Technology in Cancer Screening Programsen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Articlesen_US
dcterms.bibliographicCitationWen, L; Qiu, W; Mu, K, Applying Latest Data Science Technology in Cancer Screening Programs, Cloud Computing and Data Science, pp. 31-39en_US
dcterms.licensehttp://creativecommons.org/licenses/by/4.0/en_US
dc.date.updated2020-10-08T05:30:40Z
dc.description.versionVersion of Record (VoR)en_US
gro.rights.copyright© 2020 Lian Wen, et al. This is an open-access article distributed under a CC BY license (Creative Commons Attribution 4.0 International License) https://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en_US
gro.hasfulltextFull Text
gro.griffith.authorWen, Larry


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