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Explainable and Interpretable Machine Learning for Antimicrobial Stewardship: Opportunities and Challenges

Daniele Roberto Giacobbe, Cristina Marelli, Sabrina Guastavino, Sara Mora, Nicola Rosso, Alessio Signori, Cristina Campi, Mauro Giacomini, Matteo Bassetti

2024Clinical Therapeutics28 citationsDOI

Topics & Concepts

InterpretabilityAntimicrobial stewardshipMedicineStewardship (theology)Psychological interventionArtificial intelligenceMachine learningAntimicrobialMedical prescriptionWorkflowRisk analysis (engineering)Antibiotic resistanceComputer sciencePharmacologyNursingBiologyDatabasePolitical scienceMicrobiologyPoliticsAntibioticsLawMachine Learning in HealthcareMeta-analysis and systematic reviewsBacterial Identification and Susceptibility Testing
Explainable and Interpretable Machine Learning for Antimicrobial Stewardship: Opportunities and Challenges | Litcius