| dc.contributor.author | Gamage, Ayesh Navindu | |
| dc.date.accessioned | 2022-03-21T05:29:46Z | |
| dc.date.available | 2022-03-21T05:29:46Z | |
| dc.date.issued | 2021 | |
| dc.identifier.citation | Gamage, Ayesh Navindu (2021) Corona Affected Patient Prediction Application. MSc. Dissertation Informatics Institute of Technology | en_US |
| dc.identifier.issn | 2019144 | |
| dc.identifier.uri | http://dlib.iit.ac.lk/xmlui/handle/123456789/1047 | |
| dc.description.abstract | " The novel coronavirus is a deadly virus spreading around the world these days. A solution to prevent this virus is contained in this report. An Introduction with problem domain, project aims and objective. A literature survey with all the existing solutions and caparisons with them. The System requirement specification, SLEP, and project methodology are the first five chapters in this report. The way prototype is implemented with evidence of the codebase will be included in implementation chapter. All the testing types such as black box and white box testing will be included, also the way of evaluating the prototype will be described deeply in this report by including domain expert and industrial expert evaluations. The proposed solution will help to save many human lives by affecting COVID-19 in the future" | en_US |
| dc.language.iso | en | en_US |
| dc.title | Corona Affected Patient Prediction Application | en_US |
| dc.type | Thesis | en_US |