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SHORT REPORT
Year : 2021  |  Volume : 8  |  Issue : 6  |  Page : 720-724

Integration of Machine Learning and Blockchain Technology in the Healthcare Field: A Literature Review and Implications for Cancer Care


1 Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong, China
2 Department of Nursing, Yunnan Cancer Hospital, Kunming, China
3 Department of Oncology, Affiliated Hospital of Southwest Medical University, Luzhou, China

Correspondence Address:
Andy SK Cheng
Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong
China
Yingchun Zeng
Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong
China
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/apjon.apjon-2140

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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.


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