Yeojin Jung Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
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Biography and Research Information
OverviewAI-generated summary
Yeojin Jung's research focuses on the application of machine learning and data augmentation techniques to improve the prediction of antimicrobial resistance (AMR) phenotypes, particularly for bacteria not previously encountered in training datasets. This work aims to enhance the ability to identify and combat the spread of drug-resistant infections.
Jung has published five scholarly works, accumulating eight citations and an h-index of 2. Their recent research, published in 2025, specifically addresses the challenge of predicting AMR phenotypes in unseen bacteria. Jung collaborates with researchers at Arkansas State University, including Namkyeong Kim and Donghoon Kim, with whom they have co-authored publications.
Metrics
- h-index: 2
- Publications: 5
- Citations: 8
Selected Publications
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Improving Antimicrobial Resistance (AMR) Phenotype Prediction for Unseen Bacteria through Data Augmentation and Machine Learning (2025)
Collaboration Network
Top Collaborators
- Improving Antimicrobial Resistance (AMR) Phenotype Prediction for Unseen Bacteria through Data Augmentation and Machine Learning
- Improving Antimicrobial Resistance (AMR) Phenotype Prediction for Unseen Bacteria through Data Augmentation and Machine Learning
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