Commentary: Integrated blockchain-deep learning approach for analyzing the electronic health records recommender system

Siwan Noh; Muhammad Firdaus; Kyung-Hyune Rhee

doi:10.3389/fpubh.2023.1133142

Commentary: Integrated blockchain-deep learning approach for analyzing the electronic health records recommender system

Front Public Health. 2023 Apr 5:11:1133142. doi: 10.3389/fpubh.2023.1133142. eCollection 2023.

Authors

Siwan Noh¹, Muhammad Firdaus², Kyung-Hyune Rhee³

Affiliations

¹ Department of Information Security, Pukyong National University, Busan, Republic of Korea.
² Department of Artificial Intelligence Convergence, Pukyong National University, Busan, Republic of Korea.
³ Division of Computer Engineering, Pukyong National University, Busan, Republic of Korea.

No abstract available

Keywords: access control; blockchain (BC); electronic health record (EHR); information security; inter planetary file system (IPFS).

Publication types

Research Support, Non-U.S. Gov't
Comment

MeSH terms

Blockchain*
Computer Security
Confidentiality
Deep Learning*
Electronic Health Records

Grants and funding

This research was supported by the MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2022-2020-0-01797) supervised by the IITP (Institute for Information & Communications Technology Planning & Evaluation) and partially supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (No. 2021R1I1A3046590).