| Autor: |
Ayyıldız Hakan, Arslan Tuncer Seda |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
Türk Biyokimya Dergisi, Vol 46, Iss 6, Pp 623-630 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
1303-829X |
| DOI: |
10.1515/tjb-2021-0040 |
| Popis: |
Microbial antibiotic resistance remains a serious public health problem worldwide. Conventional culture-based techniques are time-taking procedures; therefore, there is need for new approaches for detecting bacterial resistance. The aim of this study was to assess antibiotic resistance of Escherichia coli by analyzing biochemical parameters with machine learning systems without using antibiogram. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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