Recent Studies from University of the Witwatersrand Add New Data to Machine Learning (Use of a Deep Learning and Random Forest Approach To Track Changes In the Predictive Nature of Socioeconomic Drivers of Under-5 Mortality Rates In Sub-saharan …)

摘要

By a News Reporter-Staff News Editor at Network Daily News – Data detailed on Machine Learning have been presented. According to news originating from Johannesburg, South Africa, by NewsRx correspondents, research stated, “We used machine learning algorithms to track how the ranks of importance and the survival outcome of four socioeconomic determinants (place of residence, mother’s level of education, wealth index and sex of the child) of under-5 mortality rate (U5MR) in sub-Saharan Africa have evolved. This work consists of multiple cross-sectional studies.”