Using machine learning techniques to predict antimicrobial resistance in stone disease patients
Lazaros Tzelves, Lazaros Lazarou, Georgios Feretzakis, Dimitris Kalles, Panagiotis Mourmouris, Evangelos Loupelis, Spyridon P. Basourakos, Marinos Berdempes, Ioannis Manolitsis, Iraklis Mitsogiannis, Andreas Skolarikos, Ioannis Varkarakis
Topics & Concepts
Artificial intelligenceGram stainingMedicineReceiver operating characteristicMachine learningLogistic regressionAntibioticsClassifier (UML)Antibiotic resistanceInternal medicineComputer scienceMicrobiologyBiologyUrinary Tract Infections ManagementBacterial Identification and Susceptibility TestingSurgical site infection prevention