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

Published on Nov 1, 2021in Asia-Pacific Journal of Oncology Nursing2.509
· DOI :10.4103/APJON.APJON-2140
Andy S. K. Cheng18
Estimated H-index: 18
(PolyU: Hong Kong Polytechnic University),
Qiongyao Guan + 2 AuthorsYingchun Zeng17
Estimated H-index: 17
(PolyU: Hong Kong Polytechnic University)
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.
#1Hyuna Sung (ACS: American Cancer Society)H-Index: 19
#2Jacques Ferlay (IARC: International Agency for Research on Cancer)H-Index: 72
Last. Freddie Bray (IARC: International Agency for Research on Cancer)H-Index: 126
view all 7 authors...
This article provides an update on the global cancer burden using the GLOBOCAN 2020 estimates of cancer incidence and mortality produced by the International Agency for Research on Cancer. Worldwide, an estimated 19.3 million new cancer cases (18.1 million excluding nonmelanoma skin cancer) and almost 10.0 million cancer deaths (9.9 million excluding nonmelanoma skin cancer) occurred in 2020. Female breast cancer has surpassed lung cancer as the most commonly diagnosed cancer, with an estimated ...
#1Omar Ali (American University of the Middle East)H-Index: 10
#2Ashraf JaradatH-Index: 3
Last. Ahmed Abuhalimeh (Arkansas Children's Hospital)H-Index: 1
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Blockchain technology enables users to verify, preserve, and synchronize the contents of a data sheet (a transaction ledger) replicated by multiple users. Blockchain technology has provided considerable advantages and incentives to industries in terms of enabling better services. This review aims to explore the benefits, challenges and functionalities that affect blockchain applications in different sectors. This article is constructed as a systematic literature review study. From 1976 articles,...
#1Cornelius C. Agbo (UOIT: University of Ontario Institute of Technology)H-Index: 4
#2Qusay H. Mahmoud (UOIT: University of Ontario Institute of Technology)H-Index: 25
Blockchain, an immutable ledger or database shared by peers in a network, is comprised of records of events or transactions that are appended chronologically. Introduced via Bitcoin to the world, blockchain is increasingly being accepted and adopted in different industries and for diverse use cases. Among key industries, health care offers several significant opportunities for applying blockchain conceptualization. Chief areas for health care blockchain applications include electronic medical re...
#1Giovanna Nicora (UNIPV: University of Pavia)H-Index: 2
#2Francesca Vitali (UA: University of Arizona)H-Index: 9
Last. Riccardo Bellazzi (UNIPV: University of Pavia)H-Index: 57
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In recent years, high-throughput sequencing technologies provide unprecedented opportunity to depict cancer samples at multiple molecular levels. The integration and analysis of these multi-omics datasets is a crucial and critical step to gain actionable knowledge in a precision medicine framework. This paper explores recent data-driven methodologies that have been developed and applied to respond major challenges of stratified medicine in oncology, including patients’ phenotyping, biomarker dis...
#1Benjamin S. Glicksberg (UCSF: University of California, San Francisco)H-Index: 31
#2Shohei Burns (UCSF: University of California, San Francisco)H-Index: 1
Last. Eric A. Collisson (UCSF: University of California, San Francisco)H-Index: 44
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BACKGROUND: Efficiently sharing health data produced during standard care could dramatically accelerate progress in cancer treatments, but various barriers make this difficult. Not sharing these data to ensure patient privacy is at the cost of little to no learning from real-world data produced during cancer care. Furthermore, recent research has demonstrated a willingness of patients with cancer to share their treatment experiences to fuel research, despite potential risks to privacy. OBJECTIVE...
#1Wan Zhu (Henan University)H-Index: 13
#2Longxiang Xie (Henan University)H-Index: 13
Last. Xiangqian Guo (Henan University)H-Index: 21
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Deep learning has been applied to many areas in health care, including imaging diagnosis, digital pathology, prediction of hospital admission, drug design, classification of cancer and stromal cells, doctor assistance, etc. Cancer prognosis is to estimate the fate of cancer, probabilities of cancer recurrence and progression, and to provide survival estimation to the patients. The accuracy of cancer prognosis prediction will greatly benefit clinical management of cancer patients. The improvement...
Blockchain is evolving to be a secure and reliable platform for secure data sharing in application areas such as the financial sector, supply chain management, food industry, energy sector, internet of things and healthcare. In this paper, we review existing literature and applications available for the healthcare system using blockchain technology. Besides, this work also proposes multiple workflows involved in the healthcare ecosystem using blockchain technology for better data management. Dif...
#1Zodwa Dlamini (University of Pretoria)H-Index: 17
#2F.Z. Francies (University of Pretoria)H-Index: 6
Last. Rahaba Marima (University of Pretoria)H-Index: 3
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Abstract Artificial intelligence (AI) and machine learning have significantly influenced many facets of the healthcare sector. Advancement in technology has paved the way for analysis of big datasets in a cost- and time-effective manner. Clinical oncology and research are reaping the benefits of AI. The burden of cancer is a global phenomenon. Efforts to reduce mortality rates requires early diagnosis for effective therapeutic interventions. However, metastatic and recurrent cancers evolve and a...
#1Alevtina Dubovitskaya (Lucerne University of Applied Sciences and Arts)H-Index: 10
#2Petr Novotny (IBM)H-Index: 6
Last. Fusheng Wang (SBU: Stony Brook University)H-Index: 29
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BACKGROUND: Timely sharing of electronic health records across providers, while ensuring data security and privacy, is essential for prompt care of cancer patients, as well as for the development of medical research and the enhancement of personalized medicine. Yet, it is not trivial to achieve efficient consent management, data exchange, and access-control policy enforcement, in particular, in decentralized settings, and given the gravity of the condition such as cancer. Using blockchain techno...
#1Jigna J. Hathaliya (NU: Nirma University of Science and Technology)H-Index: 4
#2Priyanka Sharma (NU: Nirma University of Science and Technology)H-Index: 21
Last. Rajesh Gupta (NU: Nirma University of Science and Technology)H-Index: 17
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In Healthcare 4.0, Remote patient monitoring (RPM) becomes a more powerful and flexible patient observation through wearable sensors at any time and anywhere. The most focused application area of RPM which allows doctors to get real-time information of their patient remotely with the help of wireless communication system. Thus, RPM reduces the time and cost of the patient. It also provides the quality care to the patient. To enhance the security and privacy of the patient data, in this paper, we...
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