Antimicrobial resistance dataset for pattern recognition in machine learning application

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.

Keywords

• Bacteria
• Pattern recognition
• Abattoir
• Health
• Signal processing