Using Machine Learning to Predict Antimicrobial Resistance-A Literature Review

• Egile Nagusiak: Aikaterini Sakagianni (Egilea), Christina Koufopoulou (Egilea), Georgios Feretzakis (Egilea), Dimitris Kalles (Egilea), Vassilios S. Verykios (Egilea), Pavlos Myrianthefs (Egilea), Georgios Fildisis (Egilea)
• Formatua: Liburua
• Argitaratua: MDPI AG, 2023-02-01T00:00:00Z.
• Gaiak: article
• Sarrera elektronikoa: Connect to this object online.

Machine learning (ML) algorithms are increasingly applied in medical research and in healthcare, gradually improving clinical practice. Among various applications of these novel methods, their usage in the combat against antimicrobial resistance (AMR) is one of the most crucial areas of interest, as...