Diagnosing Hematological Disorders Using Deep Learning Method

Tuba KARAGÜL; Nilüfer YURTAY; Birgül ÖNEÇ

doi:https://doi.org/10.35377/saucis.04.02.836375

Makale detayları

Diagnosing Hematological Disorders Using Deep Learning Method

Yazarlar:

Tuba KARAGÜL | Nilüfer YURTAY | Birgül ÖNEÇ

Ana Başlıklar:

Özel bilgisayar yöntemleri

Dergi:

Sakarya University Journal of Computer and Information Sciences 2021 Vol.4 Issue 2, pp.227-243

Belge Tipi:

Makale

Yayın Tarihi:

8/2021

Belge Dili:

İngilizce

Document ID (Org No.):

2000551905

DOI:

https://doi.org/10.35377/saucis.04.02.836375

Özet:

 

Deciding on the diagnosis of the disease is an important step for treating the patients. Also, the numerical value of blood tests, the personal information of patients, and most importantly, an expert opinion is necessary to diagnose a disease. With the development of technology, patient-related data are obtained both rapidly and in large sizes. Deep learning methods, which can produce meaningful results by processing the data in raw form, are beginning to give results that are close to human opinion nowadays. The present work is aimed to develop a system that will enable the diagnosis of anemia in general practice conditions due to the increasing number of patients and the intention of the hospitals, as well as the difficulties in reaching the expert medical consultant. The main contribution of this work is to make a diagnosis like a doctor with the data as the way the doctor uses it. The data set was obtained from the actual hospital environment and no intervention, such as increasing or decreasing the number of data, increasing or decreasing the number of attributes, reduction, integration, imputation, transformation, or discretization, has been made on the incoming patient data. The original hospital data are classified for the diagnosis of anemia types and the accuracy of 84,97% achieved by using a deep learning algorithm.

Makale detayları

Diagnosing Hematological Disorders Using Deep Learning Method

Yazarlar: Tuba KARAGÜL | Nilüfer YURTAY | Birgül ÖNEÇ

Ana Başlıklar: Özel bilgisayar yöntemleri

Dergi: Sakarya University Journal of Computer and Information Sciences 2021 Vol.4 Issue 2, pp.227-243

Belge Tipi: Makale

Yayın Tarihi: 8/2021

Belge Dili: İngilizce

Document ID (Org No.): 2000551905

DOI: https://doi.org/10.35377/saucis.04.02.836375

Sayı

Yazarlar:

Tuba KARAGÜL | Nilüfer YURTAY | Birgül ÖNEÇ

Ana Başlıklar:

Özel bilgisayar yöntemleri

Dergi:

Sakarya University Journal of Computer and Information Sciences 2021 Vol.4 Issue 2, pp.227-243

Belge Tipi:

Makale

Yayın Tarihi:

8/2021

Belge Dili:

İngilizce

Document ID (Org No.):

2000551905

DOI:

https://doi.org/10.35377/saucis.04.02.836375