Data-Driven Approaches in Antimicrobial Resistance: Machine Learning Solutions

Data-Driven Approaches in Antimicrobial Resistance: Machine Learning Solutions

<b>Background/Objectives:</b> The emergence of antimicrobial resistance (AMR) due to the misuse and overuse of antibiotics has become a critical threat to global public health. There is a dire need to forecast AMR to understand the underlying mechanisms of resistance for the development...

Full description

Saved in:
Bibliographic Details
Main Authors: Aikaterini Sakagianni, Christina Koufopoulou, Petros Koufopoulos, Sofia Kalantzi, Nikolaos Theodorakis, Maria Nikolaou, Evgenia Paxinou, Dimitris Kalles, Vassilios S. Verykios, Pavlos Myrianthefs, Georgios Feretzakis
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Antibiotics
Subjects:
antimicrobial resistance
machine learning
k-means clustering
principal component analysis
genomic data analysis
Online Access:https://www.mdpi.com/2079-6382/13/11/1052
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items