Article

A systematic analysis of machine learning pipelines for robust antimicrobial resistance prediction

2026-07-08

Abstract excerpt

<h4>Motivation</h4> Antimicrobial resistance (AMR) has been identified as a top global public health threat. Accurate AMR phenotype prediction from whole-genome sequencing data is an essential tool for accelerating clinical decision-making and mitigating resistance spread. Although many previous works have explored the use of tree-based machine learning (ML) models to predict resistance, the field lacks a systema...

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Literature Corpus work: c14f8b6e-5fba-58e0-9856-0d1304b8433f
DOI: 10.64898/2026.06.28.734076

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