Antimicrobial resistance (AMR) is emerging as a potential threat to many lives worldwide. It
is very important to understand and apply effective strategies to counter the impact of AMR …

Machine learning (ML) algorithms are increasingly applied in medical research and in
healthcare, gradually improving clinical practice. Among various applications of these novel …

Antimicrobial resistance (AMR) in bacteria is a global health crisis due to the rapid
emergence of multidrug-resistant bacteria and the lengthy development of new …

Antibiotic resistance (AR) is a naturally occurring phenomenon with the capacity to render
useless all known antibiotics in the fight against bacterial infections. Although bacterial …

Antimicrobial Resistance (AMR) has been identified by the World Health Organisation
(WHO) as one of the top ten global health threats. Inappropriate use of antibiotics around the …

Antimicrobial resistance (AMR) is a global health crisis that poses a great threat to modern
medicine. Effective prevention strategies are urgently required to slow the emergence and …

The wide use and abuse of antibiotics could make antimicrobial resistance (AMR) an
increasingly serious issue that threatens global health and imposes an enormous burden on …

Introduction Antimicrobial resistance (AMR) is a global health threat; rapid and timely
identification of AMR improves patient prognosis and reduces inappropriate antibiotic use …

Objectives In the era of increasing antimicrobial resistance, the need for early identification
and prompt treatment of multi-drug-resistant infections is crucial for achieving favorable …

Machine learning has become ubiquitous across all industries, including the relatively new
application of predicting antimicrobial resistance. As the first bibliometric review in this field …