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September 19, 2025

Application of Machine Learning Techniques for Antimicrobial Resistance Prediction.

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Authors

CHChao HuangLQLu-Kai QiaoYWYichun Wang

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Overview

Review article highlights machine learning applications in AMR prediction, suggesting improved strategies.

Key Points

  • Machine learning effectively predicts antimicrobial resistance, improving predictions and strategies for antibiotic use.
  • Early studies indicate machine learning models, trained on microbial genomes and AMR data, significantly enhance resistance prediction.
  • The article details construction processes of machine learning algorithms and models used in AMR studies.
  • Diverse applications of machine learning in AMR prediction call for further environmental monitoring initiatives.

Cite This Study

Huang et al. (2025) studied this question.

synapsesocial.com/papers/68d437fe713b0b5dfea77c48https://doi.org/10.13227/j.hjkx.202408015
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