Bibliographic Details
| Title: |
Use of Deep Learning and Blockchain Technologies in Healthcare Industry |
| Authors: |
Mazin Abed Mohammed, Seifedine Kadry, Oana Geman |
| Source: |
Acta Informatica Pragensia, Vol 12, Iss 1, Pp 1-2 (2023) |
| Publisher Information: |
Prague University of Economics and Business, 2023. |
| Publication Year: |
2023 |
| Collection: |
LCC:Electronic computers. Computer science |
| Subject Terms: |
classification, convolutional neural network, covid-19, electronic health record, transfer learning algorithm, multimodal biometric system, Electronic computers. Computer science, QA75.5-76.95 |
| More Details: |
This editorial summarises the special issue entitled "Deep Learning Blockchain-enabled Technology for Improved Healthcare Industrial Systems", which deals with the intersection and use of deep learning and blockchain technologies in the healthcare industry. This special issue consists of eleven scientific articles. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
1805-4951 |
| Relation: |
https://aip.vse.cz/artkey/aip-202301-0001_use-of-deep-learning-and-blockchain-technologies-in-healthcare-industry.php; https://doaj.org/toc/1805-4951 |
| DOI: |
10.18267/j.aip.213 |
| Access URL: |
https://doaj.org/article/421b22cd0bdd48159a6cf374b6c2cccc |
| Accession Number: |
edsdoj.421b22cd0bdd48159a6cf374b6c2cccc |
| Database: |
Directory of Open Access Journals |
