Investigation of Diabetes Care in Elder Individuals Using Artificial Intelligence
Accident prevention; Big data; Distributed computer systems; Information management; Patient treatment; Peer to peer networks; Statistical tests; Block-chain; Data and information; Data network; Diabetes care; Distributed transaction; Field services; Healthcare services; Medical practitioner; Medica...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Published: |
Hindawi Limited
2023
|
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| id |
my.uniten.dspace-27136 |
|---|---|
| record_format |
dspace |
| spelling |
my.uniten.dspace-271362023-05-29T17:40:03Z Investigation of Diabetes Care in Elder Individuals Using Artificial Intelligence Vyas S. Gupta S. Tarar S. Omarov B. Pant B. Bangare J.L. Bhowmik T. 57202096738 57210290998 36601418100 57202103462 35316278700 57436474000 57604218700 Accident prevention; Big data; Distributed computer systems; Information management; Patient treatment; Peer to peer networks; Statistical tests; Block-chain; Data and information; Data network; Diabetes care; Distributed transaction; Field services; Healthcare services; Medical practitioner; Medical professionals; Peer-to-peer networks; Blockchain The term blockchain is mainly regarded as the distributed transaction which is mainly comprised of different blocks, and each set tends to represent the data that are being associated with the previous blocks. The blockchain is mainly managed through peer-to-peer networks which comparatively involves in adhering to the protocol of authenticating various blocks to form the blockchain. The usage of blockchain technology has been increasingly used in different fields, and healthcare services are now using blockchain for better patient delivery, detecting disease, and other aspects. The scope of the proposed study is that this study has exploited the function of a blockchain-enabled big data network to support medical professionals in giving better treatment modalities and delivering better patient care. The application of a new generation of smart block chains such as Ethereum and NEM is now offering better services and features in creating blockchain-based healthcare data management and hence support healthcare centers, medical practitioners, nurses, radiologists, and patients for better healthcare management. The application of blockchain technology in big data networks supports adding more value as it results in enhanced data quality, accessibility, and support in creating better security and safety of data and information, which is highly essential in the medical industry. Blockchain technology enables big data technologies enabled in supporting medical practitioners in addressing various healthcare ailments; one of the major diseases impacting many people around the world is diabetes. Patients with such ailments tend to generate more data and information related to the disease and health-related aspects. Hence, this information requires being maintained and analyzed, so that superior healthcare services can be provided. This study is more involved in the investigation of blockchain technology through a big data network enabled in offering better care for elderly individuals who have been affected due to diabetes, the researchers propose to choose a questionnaire method to collect the data from nearly 169 respondents, and these data were then analyzed using SPSS data package. The analyst used percentage analysis, correlation analysis, and chi-square test to analyze the data which has been collated by the researchers. The results and discussion show in detail the major aspects of blockchain technology in supporting healthcare professionals for better diabetes care management for elderly individuals. � 2022 Sonali Vyas et al. Final 2023-05-29T09:40:03Z 2023-05-29T09:40:03Z 2022 Article 10.1155/2022/8760032 2-s2.0-85136078816 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85136078816&doi=10.1155%2f2022%2f8760032&partnerID=40&md5=5dd44abba3ad2bacbb52c90c2be3c236 https://irepository.uniten.edu.my/handle/123456789/27136 2022 8760032 All Open Access, Gold Hindawi Limited Scopus |
| institution |
Universiti Tenaga Nasional |
| building |
UNITEN Library |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Tenaga Nasional |
| content_source |
UNITEN Institutional Repository |
| url_provider |
http://dspace.uniten.edu.my/ |
| description |
Accident prevention; Big data; Distributed computer systems; Information management; Patient treatment; Peer to peer networks; Statistical tests; Block-chain; Data and information; Data network; Diabetes care; Distributed transaction; Field services; Healthcare services; Medical practitioner; Medical professionals; Peer-to-peer networks; Blockchain |
| author2 |
57202096738 |
| author_facet |
57202096738 Vyas S. Gupta S. Tarar S. Omarov B. Pant B. Bangare J.L. Bhowmik T. |
| format |
Article |
| author |
Vyas S. Gupta S. Tarar S. Omarov B. Pant B. Bangare J.L. Bhowmik T. |
| spellingShingle |
Vyas S. Gupta S. Tarar S. Omarov B. Pant B. Bangare J.L. Bhowmik T. Investigation of Diabetes Care in Elder Individuals Using Artificial Intelligence |
| author_sort |
Vyas S. |
| title |
Investigation of Diabetes Care in Elder Individuals Using Artificial Intelligence |
| title_short |
Investigation of Diabetes Care in Elder Individuals Using Artificial Intelligence |
| title_full |
Investigation of Diabetes Care in Elder Individuals Using Artificial Intelligence |
| title_fullStr |
Investigation of Diabetes Care in Elder Individuals Using Artificial Intelligence |
| title_full_unstemmed |
Investigation of Diabetes Care in Elder Individuals Using Artificial Intelligence |
| title_sort |
investigation of diabetes care in elder individuals using artificial intelligence |
| publisher |
Hindawi Limited |
| publishDate |
2023 |
| _version_ |
1806426280454782976 |
| score |
13.214268 |