Assessment of Machine Learning Algorithms as an Emerging Model for Translational Research to Predict Antimicrobial Resistance in Clinically Relevant Pathogens-Reference-Cited by-同舟云学术

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Assessment of Machine Learning Algorithms as an Emerging Model for Translational Research to Predict Antimicrobial Resistance in Clinically Relevant Pathogens

Published:2024 Issue: Volume: Page:
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Author:

Singh Mahendra Pratap,Gollapalli Pavan,Bagadi Shrinivas,Ragul N. S.,Sharma Yash

Publisher

Elsevier BV

Reference32 articles.

1. Antimicrobial resistance crisis: could artificial intelligence be the solution?;G Y Liu;Mil. Med. Res,2024

2. Machine Learning for Antimicrobial Resistance Prediction: Current Practice, Limitations, and Clinical Perspective;J I Kim;Clin. Microbiol. Rev

3. Genome-Based Prediction of Bacterial Antibiotic Resistance;M Su;J. Clin. Microbiol,2019

4. Genome-Wide Association Studies of Drug-Resistance Determinants;S K Volkman;Trends Parasitol,2017

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