Machine learning-based blockchain technologies for data storage: challenges, and opportunities

S. Kannadhasan, R. Nagarajan, Xiaolei Wang

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

Abstract

Technical problems have dominated machine learning (ML) research. ML is being increasingly commonly employed in healthcare, and it is assisting patients and physicians in a variety of ways. ML is a pattern recognition technology that may be used on medical pictures. After that, the ML algorithm system determines the optimum combination of these image attributes for categorizing the picture or generating a metric for the specified image area. The goals were to promote fundamental and applied research in the application of ML methods to medical problem solving and research, to provide a forum for reporting significant results, to determine whether ML methods are capable of underpinning research and development on intelligent systems for medical applications, and to identify areas that needed more research. Several research agenda suggestions were presented, covering both technical and human-centered issues.
Original languageEnglish
Title of host publicationMachine Learning, Blockchain Technologies and Big Data Analytics for IoTs: Methods, technologies and applications
PublisherInstitution of Engineering and Technology
Chapter5
ISBN (Electronic)978-1-83953-340-2
ISBN (Print)978-1-83953-339-6
Publication statusPublished - Aug 2022
MoE publication typeA3 Book section, Chapters in research books

Keywords

  • Machine learning
  • Data storage
  • Applications
  • Artificial intelligence

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