Data Challenge: Machine Learning Prediction of Fluoroquinolone Resistance in Escherichia coli using Global Surveillance Data from the Pfizer ATLAS Database.
收藏DataCite Commons2026-05-02 更新2026-05-07 收录
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https://searchamr.vivli.org/doiLanding/dataRequests/PR00012956
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资源简介：
This research uses machine learning to predict fluoroquinolone resistance in *E. coli* from global surveillance data, helping doctors choose effective antibiotics faster to improve patient outcomes, strengthen antimicrobial stewardship by reducing unnecessary use, inform public health practice by identifying resistance hotspots, and lower healthcare costs to strengthen health systems.
提供机构：
Vivli
创建时间：
2026-05-02
