| dc.contributor.author |
Julie Aarthy C., Catherene |
|
| dc.contributor.author |
N., Rajkumar |
|
| dc.contributor.author |
Sriram, V. P. |
|
| dc.contributor.author |
Badrinarayanan, M. K. |
|
| dc.contributor.author |
Raj, K. Bhavana |
|
| dc.contributor.author |
Patel, Rajan |
|
| dc.coverage.spatial |
United Kingdom |
|
| dc.date.accessioned |
2022-06-04T07:39:51Z |
|
| dc.date.available |
2022-06-04T07:39:51Z |
|
| dc.date.issued |
2022-05 |
|
| dc.identifier.citation |
Julie Aarthy C., Catherene; N., Rajkumar; Sriram, V. P.; Badrinarayanan, M. K.; Raj, K. Bhavana and Patel, Rajan, "A novel framework for the automated healthcare disaster based on intellectual machine learning", World Journal of Engineering, DOI: 10.1108/WJE-08-2021-0491, May 2022. |
en_US |
| dc.identifier.issn |
1708-5284 |
|
| dc.identifier.uri |
https://doi.org/10.1108/WJE-08-2021-0491 |
|
| dc.identifier.uri |
https://repository.iitgn.ac.in/handle/123456789/7775 |
|
| dc.description.abstract |
The purpose of this paper used for catastrophe and pandemic preparedness was the craft of machine learning calculations. ML is the latest globe learning technique to assist in the identification and remediation of medical care catastrophes. |
|
| dc.description.statementofresponsibility |
by Catherene Julie Aarthy C., Rajkumar N., V. P. Sriram, M. K. Badrinarayanan, K. Bhavana Raj and Rajan Patel |
|
| dc.language.iso |
en_US |
en_US |
| dc.publisher |
Emerald |
en_US |
| dc.subject |
Data mining |
en_US |
| dc.subject |
Disasters |
en_US |
| dc.subject |
Pandemic |
en_US |
| dc.subject |
Machine learning |
en_US |
| dc.subject |
Healthcare |
en_US |
| dc.title |
A novel framework for the automated healthcare disaster based on intellectual machine learnin |
en_US |
| dc.type |
Article |
en_US |
| dc.relation.journal |
World Journal of Engineering |
|