TransAMR: An Interpretable Transformer Model for Accurate Prediction of Antimicrobial Resistance Using Antibiotic Administration Data

TransAMR: An Interpretable Transformer Model for Accurate Prediction of Antimicrobial Resistance Using Antibiotic Administration Data

Antimicrobial Resistance (AMR) is a growing public and veterinary health concern, and the ability to accurately predict AMR from antibiotics administration data is crucial for effectively treating and managing infections. While genomics-based approaches can provide better results, sequencing, assemb...

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Bibliographic Details
Main Authors: Mukunthan Tharmakulasingam, Wenwu Wang, Michael Kerby, Roberto La Ragione, Anil Fernando
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Transformer
multi-drug AMR
antimicrobial stewardship
missing labels
XAI
multi-label prediction
Online Access:https://ieeexplore.ieee.org/document/10185002/

Internet

https://ieeexplore.ieee.org/document/10185002/

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