Using machine learning techniques to predict antimicrobial resistance in stone disease patients.

Journal: World journal of urology
Published Date: May 26, 2022

Abstract

PURPOSE: Artificial intelligence is part of our daily life and machine learning techniques offer possibilities unknown until now in medicine. This study aims to offer an evaluation of the performance of machine learning (ML) techniques, for predicting bacterial resistance in a urology department.

Authors

  • Lazaros Tzelves
    2nd Department of Urology, Sismanoglio Hospital, National and Kapodistrian University of Athens, Athens, Greece.
  • Lazaros Lazarou
    2nd Department of Urology, Sismanogleio General Hospital, Athens Medical School, National and Kapodistrian University of Athens, Athens, Greece.
  • Georgios Feretzakis
    School of Science and Technology, Hellenic Open University, Patras, Greece.
  • Dimitris Kalles
    School of Science and Technology, Hellenic Open University, Patras, Greece.
  • Panagiotis Mourmouris
    2nd Department of Urology, Sismanogleio General Hospital, Athens Medical School, National and Kapodistrian University of Athens, Athens, Greece.
  • Evangelos Loupelis
    Sismanogleio General Hospital, IT department, Marousi, Greece.
  • Spyridon Basourakos
    Department of Urology, New York Presbyterian Hospital/Weill Cornell Medicine, New York, NY, USA.
  • Marinos Berdempes
    2nd Department of Urology, National and Kapodistrian University of Athens, Sismanogleio General Hospital, Athens. marinosberdebes@hotmail.com.
  • Ioannis Manolitsis
    2nd Department of Urology, National and Kapodistrian University of Athens, Sismanogleio General Hospital, Athens. giannismanolit@gmail.com.
  • Iraklis Mitsogiannis
    2nd Department of Urology, Sismanogleio General Hospital, National and Kapodistrian University of Athens, Sismanogleiou 37, Marousi, 15126, Athens, Greece.
  • Andreas Skolarikos
    2nd Department of Urology, National and Kapodistrian University of Athens, Sismanogleio Hospital, Athens, Greece. Electronic address: andskol@yahoo.com.
  • Ioannis Varkarakis
    2nd Department of Urology, National and Kapodistrian University of Athens, Sismanogleio General Hospital, Athens. medvark3@yahoo.com.

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