Digital Repository

Corona ( Covid - 19 ) patient prediction approach

Show simple item record

dc.contributor.author Caldera, Nuwan
dc.date.accessioned 2023-01-17T04:51:21Z
dc.date.available 2023-01-17T04:51:21Z
dc.date.issued 2022
dc.identifier.citation Caldera, Nuwan (2022) Corona ( Covid - 19 ) patient prediction approach. MSc. Dissertation, Informatics Institute of Technology en_US
dc.identifier.issn 20191280
dc.identifier.uri http://dlib.iit.ac.lk/xmlui/handle/123456789/1431
dc.description.abstract The Covid 19 virus is a deadly virus that has currently spread around the world. This report entails a solution to prevent this virus. It includes an introduction with the problem domain, project aims and objectives in addition to a literature survey with a comprehensive analysis on all the existing solutions and caparisons among them. The System requirement specification, SLEP, and project methodology comprise of the first five chapters in this report. The way the prototype is implemented with evidence of the codebase will be included in the implementation chapter. Furthermore, the report includes all testing types such as black box and white box testing while the methodology for evaluating the prototype is analyzed in-depth. The proposed solution will essentially contribute to save numerous human lives affected from COVID-19 in the future. en_US
dc.language.iso en en_US
dc.subject Covid en_US
dc.subject Corona en_US
dc.subject Prediction en_US
dc.subject Analytics en_US
dc.title Corona ( Covid - 19 ) patient prediction approach en_US
dc.type Thesis en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search


Advanced Search

Browse

My Account