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

被引:25
作者
Cheng, Andy S. K. [1 ]
Guan, Qiongyao [2 ]
Su, Yan [2 ]
Zhou, Ping [3 ]
Zeng, Yingchun [1 ]
机构
[1] Hong Kong Polytech Univ, Dept Rehabil Sci, Hong Kong, Peoples R China
[2] Yunnan Canc Hosp, Dept Nursing, Kunming, Yunnan, Peoples R China
[3] Southwest Med Univ, Affiliated Hosp, Dept Oncol, Luzhou, Peoples R China
基金
中国国家自然科学基金;
关键词
Artificial intelligence; Blockchain; Cancer care; Machine learning; ARTIFICIAL-INTELLIGENCE; CHALLENGES;
D O I
10.4103/apjon.apjon-2140
中图分类号
R47 [护理学];
学科分类号
1011 ;
摘要
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.
引用
收藏
页码:720 / 724
页数:5
相关论文
共 31 条
[11]   Blockchain-Authenticated Sharing of Genomic and Clinical Outcomes Data of Patients With Cancer: A Prospective Cohort Study [J].
Glicksberg, Benjamin Scott ;
Burns, Shohei ;
Currie, Rob ;
Griffin, Ann ;
Wang, Zhen Jane ;
Haussler, David ;
Goldstein, Theodore ;
Collisson, Eric .
JOURNAL OF MEDICAL INTERNET RESEARCH, 2020, 22 (03)
[12]  
Grosan C, 2011, INTEL SYST REF LIBR, V17, P149
[13]   Artificial intelligence in medicine [J].
Hamet, Pavel ;
Tremblay, Johanne .
METABOLISM-CLINICAL AND EXPERIMENTAL, 2017, 69 :S36-S40
[14]  
Hathaliya J, 2019, INT CONF ADV COMPU, P87, DOI [10.1109/iacc48062.2019.8971593, 10.1109/IACC48062.2019.8971593]
[15]  
Hemphill GM, REV CURRENT MACHINE
[16]  
Juneja A., 2018, 2018 IEEE EMBS INT C, V2018, P393, DOI [DOI 10.1109/BHI.2018.8333451, 10.1109/BHI.2018.8333451]
[17]   A Blockchain-Based Smart Contract System for Healthcare Management [J].
Khatoon, Asma .
ELECTRONICS, 2020, 9 (01)
[18]   Blockchain Technology in Healthcare: A Comprehensive Review and Directions for Future Research [J].
Khezr, Seyednima ;
Moniruzzaman, Md ;
Yassine, Abdulsalam ;
Benlamri, Rachid .
APPLIED SCIENCES-BASEL, 2019, 9 (09)
[19]   Machine learning applications in cancer prognosis and prediction [J].
Kourou, Konstantina ;
Exarchos, Themis P. ;
Exarchos, Konstantinos P. ;
Karamouzis, Michalis V. ;
Fotiadis, Dimitrios I. .
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2015, 13 :8-17
[20]   Blockchain distributed ledger technologies for biomedical and health care applications [J].
Kuo, Tsung-Ting ;
Kim, Hyeon-Eui ;
Ohno-Machado, Lucila .
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2017, 24 (06) :1211-1220