Abstract

Blockchain is one of the most phenomenal innovations and becomes an attraction to be widely implemented in public health. Blockchain manages and accesses various data sets distributed across all users. It requires tools that can solve this data processing problem. Deep learning can be used to analyses and process public data efficiently and rapidly. Blockchain and deep learning integration support efforts to address accuracy, latency, centralization, security, and privacy issues. This research proposes the concept and architecture of blockchain and deep learning integration for public health problems.

Original languageEnglish
Title of host publicationIBIOMED 2020 - Proceedings of the 37th International Conference on Biomedical Engineering
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages65-70
Number of pages6
ISBN (Electronic)9781728171562
DOIs
Publication statusPublished - 6 Oct 2020
Event37th International Conference on Biomedical Engineering, IBIOMED 2020 - Yogyakarta, Indonesia
Duration: 6 Oct 20208 Oct 2020

Publication series

NameIBIOMED 2020 - Proceedings of the 37th International Conference on Biomedical Engineering

Conference

Conference37th International Conference on Biomedical Engineering, IBIOMED 2020
Country/TerritoryIndonesia
CityYogyakarta
Period6/10/208/10/20

Keywords

  • Blockchain
  • Classification
  • Deep learning
  • Forecasting
  • Public health

Fingerprint

Dive into the research topics of 'Enhance computing performance through deep learning and blockchain integration for public health problems'. Together they form a unique fingerprint.

Cite this