@inproceedings{d7890e82b9924791a0f8a4bedddbb2ec,
title = "Enhance computing performance through deep learning and blockchain integration for public health problems",
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.",
keywords = "Blockchain, Classification, Deep learning, Forecasting, Public health",
author = "Purnomo, {Mauridhi H.} and Iman Fahruzi and Wiwik Anggraeni",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 37th International Conference on Biomedical Engineering, IBIOMED 2020 ; Conference date: 06-10-2020 Through 08-10-2020",
year = "2020",
month = oct,
day = "6",
doi = "10.1109/IBIOMED50285.2020.9487632",
language = "English",
series = "IBIOMED 2020 - Proceedings of the 37th International Conference on Biomedical Engineering",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "65--70",
booktitle = "IBIOMED 2020 - Proceedings of the 37th International Conference on Biomedical Engineering",
address = "United States",
}
