Personalizing the empiric treatment of gonorrhea using machine learning models
Murray-Watson R, Grad Y, St. Cyr S, Yaesoubi R. Personalizing the empiric treatment of gonorrhea using machine learning models. PLOS Digital Health 2024, 3: e0000549. PMID: 39141668, PMCID: PMC11324139, DOI: 10.1371/journal.pdig.0000549.Peer-Reviewed Original ResearchGonococcal Isolate Surveillance ProjectTreatment of gonorrheaEmpirical treatmentAntimicrobial-resistantNational surveillance systemEffects of first-line therapyEmpirical treatment of gonorrhoeaPrevalence of antimicrobial-resistantPrevalence of resistant strainsStandard guidelinesFirst-line therapyResistant to ciprofloxacinFirst-line antibioticsRecommended first-line antibioticsEmergence of antimicrobial-resistantPatients' basic characteristicsStrains of Neisseria gonorrhoeaeSurveillance projectPrescribing effective treatmentCeftriaxoneGonorrheaRecommended treatmentEffective treatmentPersonalized treatmentCefixime