Empirical Mode Decomposition and k-Nearest Embedding Vectors for Timely Analyses of Antibiotic Resistance Trends

Open Access

Peer-reviewed

Research Article

Douglas Teodoro ,

* E-mail: douglas.teodoro@unige.ch

Affiliation Division of Medical Information Sciences, University Hospitals of Geneva, Geneva, Switzerland
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Christian Lovis

Affiliation Division of Medical Information Sciences, University Hospitals of Geneva, Geneva, Switzerland
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Antibiotic resistance
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Forecasting
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Machine learning algorithms
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Antimicrobial resistance
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Machine learning
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Antibiotics
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Pseudomonas aeruginosa
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Staphylococcus aureus
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