Exploring Malaria Endemicity Patterns and Tailored Interventions in Sudan Using Machine Learning
A Master of Science thesis in Computer Engineering by Fatimaelzahra Elnageeb Sulaiman Saeed entitled, “Exploring Malaria Endemicity Patterns and Tailored Interventions in Sudan Using Machine Learning”, submitted in June 2024. Thesis advisor is Dr. Assim Sagahyroon. Soft copy is available (Thesis, Co...
Saved in:
| Main Author: | |
|---|---|
| Format: | doctoralThesis |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/11073/25612 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1864513440812367872 |
|---|---|
| author | Saeed, Fatimaelzahra Elnageeb Sulaiman |
| author_facet | Saeed, Fatimaelzahra Elnageeb Sulaiman |
| author_role | author |
| dc.contributor.none.fl_str_mv | Sagahyroon, Assim |
| dc.creator.none.fl_str_mv | Saeed, Fatimaelzahra Elnageeb Sulaiman |
| dc.date.none.fl_str_mv | 2024-09-23T10:13:08Z 2024-09-23T10:13:08Z 2024-06 |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | 35.232-2024.23 https://hdl.handle.net/11073/25612 |
| dc.language.none.fl_str_mv | en_US |
| dc.subject.none.fl_str_mv | Malaria Targeted interventions Malaria endemicity Machine learning Clustering analysis Principal component analysis |
| dc.title.none.fl_str_mv | Exploring Malaria Endemicity Patterns and Tailored Interventions in Sudan Using Machine Learning |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/doctoralThesis |
| description | A Master of Science thesis in Computer Engineering by Fatimaelzahra Elnageeb Sulaiman Saeed entitled, “Exploring Malaria Endemicity Patterns and Tailored Interventions in Sudan Using Machine Learning”, submitted in June 2024. Thesis advisor is Dr. Assim Sagahyroon. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form). |
| format | doctoralThesis |
| id | aus_0b82f235782f99ddabc7abe2004ee7e2 |
| identifier_str_mv | 35.232-2024.23 |
| language_invalid_str_mv | en_US |
| network_acronym_str | aus |
| network_name_str | aus |
| oai_identifier_str | oai:repository.aus.edu:11073/25612 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Exploring Malaria Endemicity Patterns and Tailored Interventions in Sudan Using Machine LearningSaeed, Fatimaelzahra Elnageeb SulaimanMalariaTargeted interventionsMalaria endemicityMachine learningClustering analysisPrincipal component analysisA Master of Science thesis in Computer Engineering by Fatimaelzahra Elnageeb Sulaiman Saeed entitled, “Exploring Malaria Endemicity Patterns and Tailored Interventions in Sudan Using Machine Learning”, submitted in June 2024. Thesis advisor is Dr. Assim Sagahyroon. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).College of EngineeringDepartment of Computer Science and EngineeringMaster of Science in Computer Engineering (MSCoE)Sagahyroon, Assim2024-09-23T10:13:08Z2024-09-23T10:13:08Z2024-06info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdf35.232-2024.23https://hdl.handle.net/11073/25612en_USoai:repository.aus.edu:11073/256122025-06-26T12:22:56Z |
| spellingShingle | Exploring Malaria Endemicity Patterns and Tailored Interventions in Sudan Using Machine Learning Saeed, Fatimaelzahra Elnageeb Sulaiman Malaria Targeted interventions Malaria endemicity Machine learning Clustering analysis Principal component analysis |
| status_str | publishedVersion |
| title | Exploring Malaria Endemicity Patterns and Tailored Interventions in Sudan Using Machine Learning |
| title_full | Exploring Malaria Endemicity Patterns and Tailored Interventions in Sudan Using Machine Learning |
| title_fullStr | Exploring Malaria Endemicity Patterns and Tailored Interventions in Sudan Using Machine Learning |
| title_full_unstemmed | Exploring Malaria Endemicity Patterns and Tailored Interventions in Sudan Using Machine Learning |
| title_short | Exploring Malaria Endemicity Patterns and Tailored Interventions in Sudan Using Machine Learning |
| title_sort | Exploring Malaria Endemicity Patterns and Tailored Interventions in Sudan Using Machine Learning |
| topic | Malaria Targeted interventions Malaria endemicity Machine learning Clustering analysis Principal component analysis |
| url | https://hdl.handle.net/11073/25612 |