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http://hdl.handle.net/10397/93262
| Title: | Integration of machine learning and blockchain technology in the healthcare field : a literature review and implications for cancer care | Authors: | Cheng, A Guan, Q Su, Y Zhou, P Zeng, Y |
Issue Date: | 2021 | Source: | Asia-Pacific journal of oncology nursing, Nov.-Dec 2021, v. 8, no. 6, p. 720-724 | Abstract: | This 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. | Keywords: | Artificial intelligence Blockchain Cancer care Machine learning |
Publisher: | Elsevier BV | Journal: | Asia-Pacific journal of oncology nursing | ISSN: | 2347-5625 | EISSN: | 2349-6673 | DOI: | 10.4103/apjon.apjon-2140 | Rights: | © 2021 Ann & Joshua Medical Publishing Co. Ltd. This 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. The 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-2140 |
| Appears in Collections: | Journal/Magazine Article |
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| 1-s2.0-S2347562521001037-main.pdf | 580.58 kB | Adobe PDF | View/Open |
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