Exploring Malaria Endemicity Patterns and Tailored Interventions in Sudan Using Machine Learning

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...

Full description

Saved in:
Bibliographic Details
Main Author: Saeed, Fatimaelzahra Elnageeb Sulaiman (author)
Format: doctoralThesis
Published: 2024
Subjects:
Malaria
Targeted interventions
Malaria endemicity
Machine learning
Clustering analysis
Principal component analysis
Online Access:https://hdl.handle.net/11073/25612
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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).

Similar Items