首页|University of Oxford Reports Findings in Personalized Medicine (Interpretable ma chine learning-based decision support for prediction of antibiotic resistance fo r complicated urinary tract infections)
University of Oxford Reports Findings in Personalized Medicine (Interpretable ma chine learning-based decision support for prediction of antibiotic resistance fo r complicated urinary tract infections)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Drugs and Therapies - Personalized Medicine is the subject of a report. According to news reporting or iginating from Oxford, United Kingdom, by NewsRx correspondents, research stated , “Urinary tract infections are one of the most common bacterial infections worl dwide; however, increasing antimicrobial resistance in bacterial pathogens is ma king it challenging for clinicians to correctly prescribe patients appropriate a ntibiotics. In this study, we present four interpretable machine learning-based decision support algorithms for predicting antimicrobial resistance.”
OxfordUnited KingdomEuropeCyborgsDrugs and TherapiesEmerging TechnologiesHealth and MedicineMachine Learni ngPersonalized MedicinePersonalized TherapyUrinary Tract
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