Cheng Andy S K, Guan Qiongyao, Su Yan, Zhou Ping, Zeng Yingchun
Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong, China.
Department of Nursing, Yunnan Cancer Hospital, Kunming, China.
Asia Pac J Oncol Nurs. 2021 Oct 4;8(6):720-724. doi: 10.4103/apjon.apjon-2140. eCollection 2021 Nov-Dec.
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.
本简要报告旨在描述一篇关于机器学习（ML）方法和区块链技术（BCT）在医疗保健领域应用的叙述性综述，并阐述这两种技术在癌症幸存者护理中的整合。该叙述性综述共纳入了六篇符合条件的论文。ML和BCT是两种数据驱动的技术，将它们整合用于医疗保健中的临床数据管理和分析的兴趣正在迅速增长。本报告的研究结果表明，这两种技术都能可行且有效地进行整合。总之，本简要报告提供了关于ML和BCT这两种最具前景的技术在健康领域整合的最新证据，并给出了如何在癌症幸存者护理中应用这两种最具颠覆性技术的示例。
