A rapid approach with machine learning for quantifying the relative burden of antimicrobial resistance in natural aquatic environments
Peng Jiang, Shuyi Sun, Shin Giek Goh, Xuneng Tong, Yihan Chen, Kaifeng Yu, Yiliang He, Karina Yew‐Hoong Gin
Topics & Concepts
InterpretabilityRandom forestMachine learningSampling (signal processing)Environmental scienceLogistic regressionComputer scienceArtificial intelligenceFilter (signal processing)Computer visionPharmaceutical and Antibiotic Environmental ImpactsSARS-CoV-2 detection and testingAntibiotic Use and Resistance