Commentary: Integrated blockchain-deep learning approach for analyzing the electronic health records recommender system
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Format: | Book |
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Frontiers Media S.A.,
2023-04-01T00:00:00Z.
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001 | doaj_e1ec97fcebf84155bf521fff3f95e820 | ||
042 | |a dc | ||
100 | 1 | 0 | |a Siwan Noh |e author |
700 | 1 | 0 | |a Muhammad Firdaus |e author |
700 | 1 | 0 | |a Kyung-Hyune Rhee |e author |
245 | 0 | 0 | |a Commentary: Integrated blockchain-deep learning approach for analyzing the electronic health records recommender system |
260 | |b Frontiers Media S.A., |c 2023-04-01T00:00:00Z. | ||
500 | |a 2296-2565 | ||
500 | |a 10.3389/fpubh.2023.1133142 | ||
546 | |a EN | ||
690 | |a electronic health record (EHR) | ||
690 | |a blockchain (BC) | ||
690 | |a information security | ||
690 | |a access control | ||
690 | |a inter planetary file system (IPFS) | ||
690 | |a Public aspects of medicine | ||
690 | |a RA1-1270 | ||
655 | 7 | |a article |2 local | |
786 | 0 | |n Frontiers in Public Health, Vol 11 (2023) | |
787 | 0 | |n https://www.frontiersin.org/articles/10.3389/fpubh.2023.1133142/full | |
787 | 0 | |n https://doaj.org/toc/2296-2565 | |
856 | 4 | 1 | |u https://doaj.org/article/e1ec97fcebf84155bf521fff3f95e820 |z Connect to this object online. |