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   a review of covid-19 diagnostic methods  
   
نویسنده yaghobzadeh reyhaneh ,kamel seyyed reza ,shirazi koresh
منبع journal of archives in military medicine - 2019 - دوره : 7 - شماره : 4 - صفحه:1 -4
چکیده    The new coronavirus disease 2019 (covid19) has recently emerged as an acute respiratory syndrome. the virus has spread throughout the world since the primary outbreak of the disease reported in wuhan, china. the pandemic has led to increased mortality as the most important threat of the disease in specific populations across the world. furthermore, covid19 has caused significant economic problems in several countries. the early diagnosis of covid19 is currently an important concern for physicians and communities. the present study aimed to review the published articles regarding the diagnosis of covid19 until the end of february 2020. according to the results we show that deep learning and machine learning algorithms can be effectively used to the scope of the disease.
کلیدواژه diagnosis ,machine learning ,deep learning ,covid-19 ,coronavirus disease
آدرس islamic azad university, mashhad branch, department of computer engineering, iran, islamic azad university, mashhad branch, department of computer engineering, iran, payame noor university, mashhad branch, department of society of psychology, iran
پست الکترونیکی dashte3v4@yahoo.com
 
     
   
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