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Autor:
Alper Yurtseven, Sofia Buyanova, Amay Ajaykumar Agrawal, Olga O. Bochkareva, Olga V. Kalinina
Publikováno v:
BMC Microbiology, Vol 23, Iss 1, Pp 1-12 (2023)
Abstract Background Antimicrobial resistance (AMR) poses a significant global health threat, and an accurate prediction of bacterial resistance patterns is critical for effective treatment and control strategies. In recent years, machine learning (ML
Externí odkaz:
https://doaj.org/article/0ff5351476014968bf437d1f6e9ae099