Iranian Journal of Epidemiology
مجله اپیدمیولوژی ایران
irje
Medical Sciences
http://irje.tums.ac.ir
1
admin
1735-7489
2228-7507
000
000
000
000
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fa
jalali
1403
3
1
gregorian
2024
6
1
20
1
online
1
fulltext
fa
استفاده از یادگیری ماشین برای پیش بینی مقاومت ضد میکروبی در باکتریها
Utilizing Machine Learning to Predict Antimicrobial Resistance in Bacteria
تخصصي
Special
نامه به سر دبیر
Letter to Editor
<div style="text-align: justify;"><span style="font-size:12pt"><span style="direction:rtl"><span style="unicode-bidi:embed"><span new="" roman="" style="font-family:" times=""><span lang="AR-SA" style="font-size:10.0pt"><span b="" nazanin="" style="font-family:">مقاومت آنتی بیوتیکی در سال</span></span><span dir="LTR" style="font-size:10.0pt">­</span><span lang="AR-SA" style="font-size:10.0pt"><span b="" nazanin="" style="font-family:">های اخیر افزایش قابل ملاحظه</span></span><span dir="LTR" style="font-size:10.0pt">­</span><span lang="AR-SA" style="font-size:10.0pt"><span b="" nazanin="" style="font-family:">ای داشته و از طرفی دیگر الگوریتم</span></span><span dir="LTR" style="font-size:10.0pt">­</span><span lang="AR-SA" style="font-size:10.0pt"><span b="" nazanin="" style="font-family:">های یادگیری ماشینی (</span></span><span dir="LTR" style="font-size:10.0pt">ML</span><span lang="AR-SA" style="font-size:10.0pt"><span b="" nazanin="" style="font-family:">) به طور فزاینده</span></span><span dir="LTR" style="font-size:10.0pt">­</span><span lang="AR-SA" style="font-size:10.0pt"><span b="" nazanin="" style="font-family:">ای در تحقیقات پزشکی و مراقبت</span></span><span dir="LTR" style="font-size:10.0pt">­</span><span lang="AR-SA" style="font-size:10.0pt"><span b="" nazanin="" style="font-family:">های بهداشتی به کار می</span></span><span dir="LTR" style="font-size:10.0pt">­</span><span lang="AR-SA" style="font-size:10.0pt"><span b="" nazanin="" style="font-family:">روند.</span></span></span></span></span></span><br>
<span style="font-size:12pt"><span style="direction:rtl"><span style="unicode-bidi:embed"><span new="" roman="" style="font-family:" times=""><span lang="AR-SA" style="font-size:10.0pt"><span b="" nazanin="" style="font-family:">در میان کاربردهای مختلف این روشهای جدید، استفاده از آنها در مبارزه با مقاومت ضد میکروبی (</span></span><span dir="LTR" style="font-size:10.0pt">AMR</span><span lang="AR-SA" style="font-size:10.0pt"><span b="" nazanin="" style="font-family:">) یکی از حیاتیترین زمینهها می</span></span><span dir="LTR" style="font-size:10.0pt">­</span><span lang="AR-SA" style="font-size:10.0pt"><span b="" nazanin="" style="font-family:">باشد، زیرا افزایش مقاومت به آنتیبیوتیکها و مدیریت عفونتهای مقاوم به چند دارو چالشهای مهمی هستند.</span></span></span></span></span></span><br>
<span dir="RTL" lang="AR-SA" style="font-size:10.0pt"><span b="" nazanin="" style="font-family:">هر دو ابزار یادگیری ماشین تحت نظارت و بدون نظارت با موفقیت برای پیش</span></span><span style="font-size:10.0pt"><span new="" roman="" style="font-family:" times="">­</span></span><span dir="RTL" lang="AR-SA" style="font-size:10.0pt"><span b="" nazanin="" style="font-family:">بینی مقاومت آنتی بیوتیکی اولیه استفاده شده</span></span><span style="font-size:10.0pt"><span new="" roman="" style="font-family:" times="">­</span></span><span dir="RTL" lang="AR-SA" style="font-size:10.0pt"><span b="" nazanin="" style="font-family:">اند و بنابراین از پزشکان در انتخاب درمان مناسب حمایت می</span></span><span style="font-size:10.0pt"><span new="" roman="" style="font-family:" times="">­</span></span><span dir="RTL" lang="AR-SA" style="font-size:10.0pt"><span b="" nazanin="" style="font-family:">کنند. یادگیری ماشین و هوش مصنوعی </span></span><span style="font-size:12pt"><span style="direction:rtl"><span style="unicode-bidi:embed"><span new="" roman="" style="font-family:" times=""><span lang="AR-SA" style="font-size:10.0pt"><span b="" nazanin="" style="font-family:">(</span></span><span dir="LTR" style="font-size:10.0pt">AI</span><span lang="AR-SA" style="font-size:10.0pt"><span b="" nazanin="" style="font-family:">) </span></span></span></span></span></span><span dir="RTL" lang="AR-SA" style="font-size:10.0pt"><span b="" nazanin="" style="font-family:">در ارتباط با پیشبینی مقاومت ضد میکروبی از علوم امروزی بوده و برنامه نظارت ضد میکروبی</span></span> <span style="font-size:12pt"><span style="direction:rtl"><span style="unicode-bidi:embed"><span new="" roman="" style="font-family:" times=""><span lang="AR-SA" style="font-size:10.0pt"><span b="" nazanin="" style="font-family:">(</span></span><span dir="LTR" style="font-size:10.0pt">ASP</span><span lang="AR-SA" style="font-size:10.0pt"><span b="" nazanin="" style="font-family:">) </span></span></span></span></span></span><span dir="RTL" lang="AR-SA" style="font-size:10.0pt"><span b="" nazanin="" style="font-family:">برای بهینه</span></span><span style="font-size:10.0pt"><span new="" roman="" style="font-family:" times="">­</span></span><span dir="RTL" lang="AR-SA" style="font-size:10.0pt"><span b="" nazanin="" style="font-family:">سازی تجویز آنتی</span></span><span style="font-size:10.0pt"><span new="" roman="" style="font-family:" times="">­</span></span><span dir="RTL" lang="AR-SA" style="font-size:10.0pt"><span b="" nazanin="" style="font-family:">بیوتیک و محدود کردن </span></span><span style="font-size:10.0pt"><span new="" roman="" style="font-family:" times="">AMR</span></span><span dir="RTL" lang="AR-SA" style="font-size:10.0pt"><span b="" nazanin="" style="font-family:"> بایستی اجرا شود.</span></span></div>
<div style="text-align: justify;"><span style="font-size:12pt"><span style="unicode-bidi:embed"><span new="" roman="" style="font-family:" times=""><span style="font-size:10.0pt"><span cen="" mt="" style="font-family:" tw="">Antibiotic resistance has increased significantly in recent years. On the other hand, machine learning (ML) algorithms are increasingly used in medical research and healthcare and are gradually improving clinical performance</span></span><span dir="RTL" lang="AR-SA" style="font-size:10.0pt"><span b="" nazanin="" style="font-family:">.</span></span><span style="font-size:10.0pt"><span style="font-family:"Tw Cen MT",sans-serif"></span></span></span></span></span><br>
<span style="font-size:12pt"><span style="unicode-bidi:embed"><span new="" roman="" style="font-family:" times=""><span style="font-size:10.0pt"><span cen="" mt="" style="font-family:" tw="">Using ML to fight antimicrobial resistance (AMR) is one of the most critical areas of interest among the various applications of these new methods. The rise of antibiotic resistance and managing multidrug-resistant infections that are difficult to treat are important challenges</span></span><span dir="RTL" lang="AR-SA" style="font-size:10.0pt"><span b="" nazanin="" style="font-family:">.</span></span><span style="font-size:10.0pt"><span style="font-family:"Tw Cen MT",sans-serif"></span></span></span></span></span><br>
<span style="font-size:10.0pt"><span cen="" mt="" style="font-family:" tw="">Both supervised and unsupervised machine learning tools have been successfully used to predict early antibiotic resistance and thus support clinicians in selecting the appropriate treatment. Machine learning and artificial intelligence (AI) in predicting antimicrobial resistance are among today's sciences. Therefore, an antimicrobial stewardship program (ASP) should be implemented to optimize antibiotic prescribing</span></span> <span style="font-size:10.0pt"><span cen="" mt="" style="font-family:" tw="">and limit AMR.</span></span></div>
مقاومت ضد میکروبی, یادگیری ماشینی, هوش مصنوعی
Antimicrobial resistance, Machine learning, Artificial intelligence
65
68
http://irje.tums.ac.ir/browse.php?a_code=A-10-3230-1&slc_lang=fa&sid=1
Monireh
Rahimkhani
منیره
رحیم خانی
rrahimkhani@sina.tums.ac.ir