Integrated Blockchain-Deep Learning Approach for Analyzing the Electronic Health Records Recommender System
Bibliographic Data
| ID | 22074864 |
|---|---|
| Authors | Eric Appiah Mantey (0000-0002-9918-6524, Jiangsu University, corresponding author), Conghua Zhou (0000-0001-6727-6405, Jiangsu University), S Srividhya (0000-0002-7601-8288, Sathyabama Institute of Science and Technology), S R Srividhya, Sanjiv Jain (0000-0001-8942-7681, Medi-Caps University), B Sundaravadivazhagan (University of Technology and Applied Sciences - Al Mussanah) |
| Year | 2022 |
| Volume | 10 |
| Pages | 905265-905265 |
| Publication date | 2022-05-06 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2022.905265 |
| PMID | 35602165 |
| OpenAlex | W4229007738 |
| Language | EN |
| Citations received | 1 |
| References cited | 21 |
Blockchain is a recent revolutionary technology primarily associated with cryptocurrencies. It has many unique features including its acting as a decentralized, immutable, shared, and distributed ledger. Blockchain can store all types of data with better security. It avoids third-party intervention to ensure better security of the data. Deep learning is another booming field that is mostly used in computer applications. This work proposes an integrated environment of a blockchain-deep learning environment for analyzing the Electronic Health Records (EHR). The EHR is the medical documentation of a patient which can be shared among hospitals and other public health organizations. The proposed work enables a deep learning algorithm act as an agent to analyze the EHR data which is stored in the blockchain. This proposed integrated environment can alert the patients by means of a reminder for consultation, diet chart, etc. This work utilizes the deep learning approach to analyze the EHR, after which an alert will be sent to the patient's registered mobile number
Blockchain · Computer security · Cryptocurrency · Data science · Deep learning · Documentation · Electronic health record · Health care · Health records · Machine learning · World Wide Web · Blockchain Technology Applications and Security · Computer Science · IoT and Edge/Fog Computing · Machine Learning in Healthcare · Artificial Intelligence
| Unique citing works | 1 |
|---|---|
| Citations per year | 0.33 |
| Citation span | 2023 - 2023 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |