The Use of Neural Network Models in Predicting the Presence of Drug resistant Infection Using Patient Data.
| dc.contributor.advisor | Mark Kelson | |
| dc.contributor.author | RATHATH ABDULRAHMAN ALTURKI | |
| dc.date | 2022 | |
| dc.date.accessioned | 2022-06-04T19:31:25Z | |
| dc.date.available | 2022-03-02 17:15:27 | |
| dc.date.available | 2022-06-04T19:31:25Z | |
| dc.description.abstract | if used alongside empiric therapy,could helpmake thisaspect ofdiagnostic more accurate, allowing morerapid AMR predictiontohelp doctorsand clinicians prescribe appropriateempiric treatment. Thisshouldsave time in critical cases, helping to ensure good patient outcomes,as well assupporting the development ofmore reasonable treatment plansand preventing outbreaks of deadly AMR infections. | |
| dc.format.extent | 65 | |
| dc.identifier.other | 110349 | |
| dc.identifier.uri | https://drepo.sdl.edu.sa/handle/20.500.14154/66112 | |
| dc.language.iso | en | |
| dc.publisher | Saudi Digital Library | |
| dc.title | The Use of Neural Network Models in Predicting the Presence of Drug resistant Infection Using Patient Data. | |
| dc.type | Thesis | |
| sdl.degree.department | Applied Data Science and Statistics | |
| sdl.degree.grantor | University of Exeter | |
| sdl.thesis.level | Master | |
| sdl.thesis.source | SACM - United Kingdom |