Machine learning for assessment of antimicrobial susceptibility: A novel bioinformatics approach against antimicrobial resistance
عنوان مقاله: Machine learning for assessment of antimicrobial susceptibility: A novel bioinformatics approach against antimicrobial resistance
شناسه ملی مقاله: JR_JNRCP-2-0_012
منتشر شده در در سال 1403
شناسه ملی مقاله: JR_JNRCP-2-0_012
منتشر شده در در سال 1403
مشخصات نویسندگان مقاله:
Mojtaba Hedayati Ch - Department of Microbiology, Virology and Microbial toxins, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran
Mohammadreza Mobayen - Burn and Regenerative Medicine Research Center, Guilan University of Medical Sciences, Rasht, Iran
Alireza Feizkhah - Burn and Regenerative Medicine Research Center, Guilan University of Medical Sciences, Rasht, Iran
Mahsa Sadeghi - Department of Microbiology, Virology and Microbial toxins, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran
خلاصه مقاله:
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1940481/
Mojtaba Hedayati Ch - Department of Microbiology, Virology and Microbial toxins, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran
Mohammadreza Mobayen - Burn and Regenerative Medicine Research Center, Guilan University of Medical Sciences, Rasht, Iran
Alireza Feizkhah - Burn and Regenerative Medicine Research Center, Guilan University of Medical Sciences, Rasht, Iran
Mahsa Sadeghi - Department of Microbiology, Virology and Microbial toxins, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran