Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/93262
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dc.contributorDepartment of Rehabilitation Sciencesen_US
dc.creatorCheng, Aen_US
dc.creatorGuan, Qen_US
dc.creatorSu, Yen_US
dc.creatorZhou, Pen_US
dc.creatorZeng, Yen_US
dc.date.accessioned2022-06-10T07:02:18Z-
dc.date.available2022-06-10T07:02:18Z-
dc.identifier.issn2347-5625en_US
dc.identifier.urihttp://hdl.handle.net/10397/93262-
dc.language.isoenen_US
dc.publisherElsevier BVen_US
dc.rights© 2021 Ann & Joshua Medical Publishing Co. Ltd.en_US
dc.rightsThis is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.en_US
dc.rightsThe following publication Cheng AS, Guan Q, Su Y, Zhou P, Zeng Y. Integration of Machine Learning and Blockchain Technology in the Healthcare Field: A Literature Review and Implications for Cancer Care. Asia Pac J Oncol Nurs 2021;8:720-4. is available at https://doi.org/10.4103/apjon.apjon-2140en_US
dc.subjectArtificial intelligenceen_US
dc.subjectBlockchainen_US
dc.subjectCancer careen_US
dc.subjectMachine learningen_US
dc.titleIntegration of machine learning and blockchain technology in the healthcare field : a literature review and implications for cancer careen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage720en_US
dc.identifier.epage724en_US
dc.identifier.volume8en_US
dc.identifier.issue6en_US
dc.identifier.doi10.4103/apjon.apjon-2140en_US
dcterms.abstractThis brief report aimed to describe a narrative review about the application of machine learning (ML) methods and Blockchain technology (BCT) in the healthcare field, and to illustrate the integration of these two technologies in cancer survivorship care. A total of six eligible papers were included in the narrative review. ML and BCT are two data-driven technologies, and there is rapidly growing interest in integrating them for clinical data management and analysis in healthcare. The findings of this report indicate that both technologies can integrate feasibly and effectively. In conclusion, this brief report provided the state-of-art evidence about the integration of the most promising technologies of ML and BCT in health field, and gave an example of how to apply these two most disruptive technologies in cancer survivorship care.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationAsia-Pacific journal of oncology nursing, Nov.-Dec 2021, v. 8, no. 6, p. 720-724en_US
dcterms.isPartOfAsia-Pacific journal of oncology nursingen_US
dcterms.issued2021-
dc.identifier.scopus2-s2.0-85116723616-
dc.identifier.eissn2349-6673en_US
dc.description.validate202206 bcchen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberRS-0506-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Natural Science Foundation of Chinaen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS57127359-
dc.description.oaCategoryCCen_US
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