Article

Supervised Learning Model Systems to Predict and Identify Drivers of AMR in Africa

2025-08-04

Abstract excerpt

<h4>Background: </h4> The threat of antimicrobial resistance (AMR) is a critical and persistent challenge to global health and modern health care, especially in Africa. To address this challenge, we conducted a comparative analysis using statistical modelling to identify the predicting variables that impact AMR in Africa and identified the patterns surrounding AMR surveillance in the continent and leveraged existi...

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Literature Corpus work: 3dde155f-6bad-5d7f-a5af-49c9450586db
DOI: 10.12688/wellcomeopenres.24135.1

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