Antimicrobial resistance dataset for pattern recognition in machine learning application

用于机器学习应用中模式识别的抗菌素耐药性数据集

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Abstract

This study presents a dataset of bacterial isolates collected from abattoirs in Osun State, Nigeria, designed to support research on antimicrobial resistance (AMR). The environment plays a critical role in the development and spread of AMR, posing a growing threat to global health. This dataset aims to address challenges in antibiotic selection by enabling the prediction of effective drugs for specific bacterial infections.

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