Salgın Hastalıklarla Mücadelede Açık Kaynak Kodlu Çözümler

Year 2021, , 99 - 105, 30.04.2021

Melike Bektaş , Abdullah Yavuz , Faruk Bulut

https://doi.org/10.47769/izufbed.861541

Abstract

İnsanlık tarihi boyunca salgın hastalıklar birçok can kaybına neden olmuştur. Bilgi teknolojileri ve Endüstri 4.0 çağında bu hastalıklarla mücadelenin farklı boyutları vardır. Tıbbi yaklaşımlar, kimyevi çözümler, laboratuvar çalışmaları elbette bu işin en önemli boyutu ve olmazsa olmazıdır. Bunun yanında istatistik, matematik ve veri bilimi ile elde edilecek analizler, fikirler ve öngörüler, salgın hastalıklar ile mücadelede önemli bir rol oynamaktadır. Bu alanda açık kaynak kodlu yazılımlar ve çözümlerle, salgın hastalıklarla daha iyi bir mücadele sergilenebilmektedir. Farklı algoritmik yaklaşımları içeren açık kaynak kodlu yazılımlar özgür geliştiricilerin desteği ile daha da ileri seviyelere götürülebilmektedir. Ayrıca bu tür yazılımlar ülkelere ve bölgelere göre özgünleştirilebilir. Bu çalışmada, salgın hastalıklarla mücadelede kullanılan istatistiksel ve veri bilimi yöntemlerinin açık kaynak kodlu yazılımlarda nasıl kullanıldığı kategorilere ayrılarak incelenmiştir.

Keywords

Corona, İstatistiksel Analizler, Sınıflandırma, Kümeleme, İlişkilendirme, Görüntü İşleme

Open Source Based Solutions in Combating Epidemics

Abstract

Epidemics have caused numerous casualties throughout human history. There are different dimensions of combating these types of diseases in the age of information technologies and Industry 4.0. Medical approaches, chemical solutions, laboratory studies are of course the most important aspect of this subject. In addition, analyzes, inferences and predictions obtained from statistics, mathematics and data science play crucial roles in combating epidemics. In this field, a better fight against epidemics can be conducted with open source software and their solutions. Open source software containing different algorithmic approaches can be taken to further levels with the support of free developers. In addition, such software can be customized according to countries and regions. In this study, statistical and data science methods in combating epidemic diseases in the open source software field are examined and categorised.

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