Medical Informatics III

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CHAPTER


DOI :10.26650/B/ET07.2023.005.13   IUP :10.26650/B/ET07.2023.005.13    Full Text (PDF)

The Importance of Deep Learning Approaches in Covid-19 Pandemia

Cemal Aktürk, Sevinç Gülseçen

Since medicine and health sciences are fields that directly concern human life, the use of information systems to overcome the difficulties and problems in this field directly adds value to the society. The improvements and solved problems in every process of the health system, from early detection and diagnosis of diseases to medical decision making, from drug and vaccine development to hospital management and health service provision, are an indication of how much these values touch human life. In the field of medicine, artificial intelligence is used for the purposes of early diagnosis of diseases, making clinical decisions in the diagnosis and treatment process, and maintaining sustainability in education, research and health services. In this chapter, studies in the field of medicine and health sciences during the COVID-19 pandemic process, focused on methods using deep learning approaches as an artificial intelligence tool, are examined. It was seen that deep learning approaches were used in forecasting studies in order to increase the quality of health services provided during the COVID-19 epidemic, to alleviate the workload of insufficient experts and to make medical decisions. When the results were assesed, it was seen that deep learning was frequently used to provide rapid decision support to experts in the detection, diagnosis and treatment stages of the disease. Also, it has been understood that the deep learning approach is mostly used in the classification of radiological images in the detection of COVID-19.


Keywords: COVID-19, deep learning, medical informatics
DOI :10.26650/B/ET07.2023.005.13   IUP :10.26650/B/ET07.2023.005.13    Full Text (PDF)

Covıd-19 Pandemisinde Derin Öğrenme Yaklaşımlarının Önemi

Cemal Aktürk, Sevinç Gülseçen

Tıp ve sağlık bilimleri, insan hayatını doğrudan ilgilendiren alanlar olduğu için bu alandaki zorlukların ve problemlerin üstesinden gelinmesinde bilişim sistemlerinin kullanılması topluma doğrudan değer katmaktadır. Hastalıkların erken tespiti ve teşhisinden tıbbi karar vermeye, ilaç ve aşı geliştirmekten hastane yönetimine ve sağlık hizmeti sunumuna kadar sağlık sisteminin her sürecinde yapılan iyileştirmeler ve çözülen problemler bu değerlerin insan hayatına ne kadar temas ettiğinin bir göstergesidir. Tıp alanında yapay zeka, hastalıkların erken teşhis edilmesi, tanı ve tedavi sürecinde klinik kararların verilmesi, eğitim, araştırma ve sağlık hizmetlerinde sürdürülebilirliğin korunması amaçlarıyla kullanılarak karşımıza çıkmaktadır. Bu bölümde, COVID-19 pandemi sürecinde tıp ve sağlık bilimleri alanındaki çalışmalardan, yapay zeka yöntemi olarak derin öğrenme yaklaşımlarının kullanıldığı çalışmalara odaklanılmıştır. Yapılan araştırmada COVID-19 salgın sürecinde verilen sağlık hizmetlerinin kalitesinin arttırılması, yeterli sayıda olmayan uzmanların iş yükünün hafifletilmesi ve tıbbi kararların verilmesi için tahmin etme çalışmalarında derin öğrenme yaklaşımlarının kullanıldığı görülmüştür. Araştırmadan elde edilen sonuçlar değerlendirildiğinde, derin öğrenmenin hastalığın tespit, teşhis ve tedavi aşamalarında uzmanlara hızlı karar desteği vermek amacıyla sıklıkla kullanıldığı görülmüştür. Derin öğrenme yaklaşımının COVID-19’un tespitinde daha çok radyolojik görüntülerin sınıflandırılmasında kullanıldığı anlaşılmıştır. 


Keywords: COVID-19, derin öğrenme, tıp bilişimi

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