<?xml version="1.0" encoding="UTF-8"?><record xmlns:dc="http://purl.org/dc/elements/1.1/"><dc:title>Using social-behavioral data and AI to boost participation of Rwandan 
population towards fighting HIV</dc:title><dc:creator>Alliance Mbonigaba</dc:creator><dc:publisher>African Leadership Univerisity</dc:publisher><dc:date>2021</dc:date><dc:description>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.</dc:description><dc:subject>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</dc:subject><dc:type>Final Year Project</dc:type><dc:identifier>https://inrepscholar.com/african-leadership-univerisity/projects/1017</dc:identifier><dc:rights></dc:rights></record>