Artificial Neural Network Blockchain Techniques for Healthcare System: Focusing on the Personal Health Records
This paper seeks to use artificial intelligence blockchain algorithms to ensure safe verification of medical institution PHR data and accurate verification of medical data as existing vulnerabilities. Artificial intelligence has recently spread and has led to research on many technologies thanks to...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-05-01
|
| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/9/5/763 |
| _version_ | 1797568746410213376 |
|---|---|
| author | Seong-Kyu Kim Jun-Ho Huh |
| author_facet | Seong-Kyu Kim Jun-Ho Huh |
| author_sort | Seong-Kyu Kim |
| collection | DOAJ |
| description | This paper seeks to use artificial intelligence blockchain algorithms to ensure safe verification of medical institution PHR data and accurate verification of medical data as existing vulnerabilities. Artificial intelligence has recently spread and has led to research on many technologies thanks to the Fourth Industrial Revolution. This is a very important factor in healthcare as well as the healthcare industry’s position. Likewise, blockchain is very safe to apply because it encrypts and verifies these medical data in case they are hacked or leaked. These technologies are considered very important. This study raises the problems of these artificial intelligence blockchains and recognizes blockchain, artificial intelligence, neural networks, healthcare, etc.; these problems clearly exist, so systems like EHR are not being used. In the future, ensuring privacy will be made easier when these EHRs are activated and data transmission and data verification between hospitals are completed. To overcome these shortcomings, we define an information security blockchain artificial intelligence framework and verify blockchain systems for accurate extraction, storage, and verification of data. In addition, various verification and performance evaluation indicators are set to obtain the TPS of medical data and for the implementation of standardization work in the future. This paper seeks to maximize the confidentiality of blockchain and the sensitivity and availability of artificial intelligence. |
| first_indexed | 2024-03-10T20:01:18Z |
| format | Article |
| id | doaj.art-6c093effd1f84ff59f9d2b5bedd04453 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-10T20:01:18Z |
| publishDate | 2020-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-6c093effd1f84ff59f9d2b5bedd044532023-11-19T23:35:06ZengMDPI AGElectronics2079-92922020-05-019576310.3390/electronics9050763Artificial Neural Network Blockchain Techniques for Healthcare System: Focusing on the Personal Health RecordsSeong-Kyu Kim0Jun-Ho Huh1Department of Information Technology, Sungkyunkwan University, Seoul 03063, KoreaDepartment of Data Informatics, Korea Maritime and Ocean University, Busan 49112, KoreaThis paper seeks to use artificial intelligence blockchain algorithms to ensure safe verification of medical institution PHR data and accurate verification of medical data as existing vulnerabilities. Artificial intelligence has recently spread and has led to research on many technologies thanks to the Fourth Industrial Revolution. This is a very important factor in healthcare as well as the healthcare industry’s position. Likewise, blockchain is very safe to apply because it encrypts and verifies these medical data in case they are hacked or leaked. These technologies are considered very important. This study raises the problems of these artificial intelligence blockchains and recognizes blockchain, artificial intelligence, neural networks, healthcare, etc.; these problems clearly exist, so systems like EHR are not being used. In the future, ensuring privacy will be made easier when these EHRs are activated and data transmission and data verification between hospitals are completed. To overcome these shortcomings, we define an information security blockchain artificial intelligence framework and verify blockchain systems for accurate extraction, storage, and verification of data. In addition, various verification and performance evaluation indicators are set to obtain the TPS of medical data and for the implementation of standardization work in the future. This paper seeks to maximize the confidentiality of blockchain and the sensitivity and availability of artificial intelligence.https://www.mdpi.com/2079-9292/9/5/763blockchainartificial neural network blockchainartificial intelligenceintelligent agent healthcarepersonal health recordPHR |
| spellingShingle | Seong-Kyu Kim Jun-Ho Huh Artificial Neural Network Blockchain Techniques for Healthcare System: Focusing on the Personal Health Records Electronics blockchain artificial neural network blockchain artificial intelligence intelligent agent healthcare personal health record PHR |
| title | Artificial Neural Network Blockchain Techniques for Healthcare System: Focusing on the Personal Health Records |
| title_full | Artificial Neural Network Blockchain Techniques for Healthcare System: Focusing on the Personal Health Records |
| title_fullStr | Artificial Neural Network Blockchain Techniques for Healthcare System: Focusing on the Personal Health Records |
| title_full_unstemmed | Artificial Neural Network Blockchain Techniques for Healthcare System: Focusing on the Personal Health Records |
| title_short | Artificial Neural Network Blockchain Techniques for Healthcare System: Focusing on the Personal Health Records |
| title_sort | artificial neural network blockchain techniques for healthcare system focusing on the personal health records |
| topic | blockchain artificial neural network blockchain artificial intelligence intelligent agent healthcare personal health record PHR |
| url | https://www.mdpi.com/2079-9292/9/5/763 |
| work_keys_str_mv | AT seongkyukim artificialneuralnetworkblockchaintechniquesforhealthcaresystemfocusingonthepersonalhealthrecords AT junhohuh artificialneuralnetworkblockchaintechniquesforhealthcaresystemfocusingonthepersonalhealthrecords |