The project aims to evaluate social-behavioral patterns in Rwanda to predict HIV transmission and recommend preventative measures. It uses data from a Demographic and Health Surveys survey to build machine learning models.
Metadata
Author
Alliance Mbonigaba
Supervisor
Kudakwashe Dandajena
Faculty
COMPUTER SCIENCE
Department
Not listed
Document type
Final Year Project
Year
2021
Keywords
Hiv, social-behaviour, machine learning, predictive modelling, data science, social-behavioral data boost, data boost participation, boost participation rwandan, participation rwandan population, rwandan population towards
Access
View Only
License
all_rights_reserved
Cite this work
Auto-generated from the record metadata: authors, journal title, DOI, volume, issue/serial, pages and publication date. Review before final academic use.