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August 21, 2025Current Bioinformatics

A Multipurpose Machine Learning Application in Microbiological Data

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Authors

SMSaurav Kumar MishraJPJ. Jeba PrabaKGKusum Gurung

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Overview

This review highlights machine learning's roles in microbiological data analysis, suggesting implications for clinical applications and microbial ecology.

Key Points

  • Machine learning effectively organizes complex microbiological data for accurate results and hypotheses.
  • The research highlights diverse machine learning applications, particularly in clinical settings and microbial ecology.
  • Extensive feature-based models are essential for validating microbiological data and improving accuracy.
  • Challenges remain with data volume and quality, indicating the need for better information systems in microbiology.

Cite This Study

Mishra et al. (2025) studied this question.

synapsesocial.com/papers/68af78327567bf4f94ff107ahttps://doi.org/10.2174/0115748936414246250808022341
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