1. DergiPark
  2. International Journal of Multidisciplinary Studies and Innovative Technologies
  3. Arşiv
  4. Cilt 4, Sayı 1
Yıl 2020, Cilt 4 , Sayı 1, Sayfalar 14 - 17 2020-07-31

Anemia Diagnosis By Using Artificial Neural Networks

Ali BERKOL [1] , Emre TARTAN [2] , Yahya EKİCİ [3]

Öz

In the last years, applications of artificial intelligence for diagnosis of diseases as a decision support system has been widely used. In these applications, the state that if the patient contracts to the suspected is classified as positive or negative. Although in the previous works which use artificial neural networks various diseases especially some cancer types have been studied, anemia has remained as an disease that has not been focused. Anemia which can emerge due to the degeneration of blood structure, blood loss or elimination of erythrocytes is a disease that is widely encountered and can result in significant health problems. In this study, a decision support system using artificial neural network has been proposed for the diagnosis of anemia according to the selected comprehensive blood laboratory test.

Anahtar Kelimeler

Anemia, Artificial neural networks, Artificial intelligence, diagnosis, Erythrocyte, Blood values

Kaynakça

  • [1] M. Behnam, A. Mohammadhossein, C. Shing, “A medical decision support system for disease diagnosis under uncertainty”, Expert Systems With Applications 88, 2017.
  • [2] J. Jingchi, L. Xueli, Z. Chao, G. Yi, Y. Qiubin, “Learning and inference in knowledge-based probabilistic model for medical diagnosis”, Knowledge-Based Systems, 2017.
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  • [4] S. Gandhi, C. Edgar, L. Jose, E. Marisol, R. Alejandro, P. Yuliana, “Collective intelligence in medical diagnosis systems: A case study”, Computers in Biology and Medicine, 2016.
  • [5] R. Alejandro, A. Giner, “An approach for solving multi-level diagnosis in high sensitivity medical diagnosis systems through the application of semantic Technologies”, Computers in Biology and Medicine 43, 2013. [6] E. McLean, M. Cogswell, I. Egli, D. Wojdyla, B. Benoist, “Worldwide prevalence ofanaemia, who vitamin and mineral nutrition information system”, Public Health Nutr.”, 2009.
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  • [8] H. Erdem, A. Berkol, M. Sert, “Comparative Study of Universal Function Approximators (Neural Network, Fuzzy Logic, ANFIS) for Non-Linear Systems” International Journal of Scientific Research in Information Systems and Engineering (IJSRISE) 2015.
  • [9] O. Unal, A. Berkol, E. Tartan, “Using Artificial Intelligence Based Expert System for Selection of Design Subcontractors: A Case Study in Aerospace Industry”, 8th IEEE International Conference on Mechanical and Aerospace Engineering (ICMAE 2017).
  • [10] T. Subashini, V. Ramalingam, S. Palanivel, “Breast mass classification based on cytological patterns using RBFNN and SVM”, Expert Syst. Appl., vol. 36, no. 3, pp. 5284–5290, Apr. 2009.
  • [11] B. Djavan, M. Remzi, A. Zlotta, C. Seitz, P. Snow, M. Marberger “Artificial Neural Network for Early Detection of Prostate Cancer”. J-Clin Oncol 2002; 20:921–9.

Ayrıntılar

Birincil Dil en
Konular Mühendislik
Bölüm Makaleler
Yazarlar

Yazar: Ali BERKOL (Sorumlu Yazar)
Kurum: Yücelen Group
Ülke: Turkey

Yazar: Emre TARTAN
Kurum: Baskent University
Ülke: Turkey

Yazar: Yahya EKİCİ
Kurum: Baskent University
Ülke: Turkey
Destekleyen Kurum Yücelen Grup
Teşekkür Dr. Ali Yücelen
Tarihler

Yayımlanma Tarihi : 31 Temmuz 2020

Kaynak Göster

Bibtex @araştırma makalesi { ijmsit681322, journal = {International Journal of Multidisciplinary Studies and Innovative Technologies}, issn = {2602-4888}, eissn = {2602-4888}, address = {}, publisher = {SET Teknoloji}, year = {2020}, volume = {4}, pages = {14 - 17}, doi = {}, title = {Anemia Diagnosis By Using Artificial Neural Networks}, key = {cite}, author = {Berkol, Ali and Tartan, Emre and Eki̇ci̇, Yahya} }
APA Berkol, A , Tartan, E , Eki̇ci̇, Y . (2020). Anemia Diagnosis By Using Artificial Neural Networks . International Journal of Multidisciplinary Studies and Innovative Technologies , 4 (1) , 14-17 . Retrieved from https://dergipark.org.tr/tr/pub/ijmsit/issue/55940/681322
MLA Berkol, A , Tartan, E , Eki̇ci̇, Y . "Anemia Diagnosis By Using Artificial Neural Networks" . International Journal of Multidisciplinary Studies and Innovative Technologies 4 (2020 ): 14-17 <https://dergipark.org.tr/tr/pub/ijmsit/issue/55940/681322>
Chicago Berkol, A , Tartan, E , Eki̇ci̇, Y . "Anemia Diagnosis By Using Artificial Neural Networks". International Journal of Multidisciplinary Studies and Innovative Technologies 4 (2020 ): 14-17
RIS TY - JOUR T1 - Anemia Diagnosis By Using Artificial Neural Networks AU - Ali Berkol , Emre Tartan , Yahya Eki̇ci̇ Y1 - 2020 PY - 2020 N1 - DO - T2 - International Journal of Multidisciplinary Studies and Innovative Technologies JF - Journal JO - JOR SP - 14 EP - 17 VL - 4 IS - 1 SN - 2602-4888-2602-4888 M3 - UR - Y2 - 2020 ER -
EndNote %0 International Journal of Multidisciplinary Studies and Innovative Technologies Anemia Diagnosis By Using Artificial Neural Networks %A Ali Berkol , Emre Tartan , Yahya Eki̇ci̇ %T Anemia Diagnosis By Using Artificial Neural Networks %D 2020 %J International Journal of Multidisciplinary Studies and Innovative Technologies %P 2602-4888-2602-4888 %V 4 %N 1 %R %U
ISNAD Berkol, Ali , Tartan, Emre , Eki̇ci̇, Yahya . "Anemia Diagnosis By Using Artificial Neural Networks". International Journal of Multidisciplinary Studies and Innovative Technologies 4 / 1 (Temmuz 2020): 14-17 .
AMA Berkol A , Tartan E , Eki̇ci̇ Y . Anemia Diagnosis By Using Artificial Neural Networks. IJMSIT. 2020; 4(1): 14-17.
Vancouver Berkol A , Tartan E , Eki̇ci̇ Y . Anemia Diagnosis By Using Artificial Neural Networks. International Journal of Multidisciplinary Studies and Innovative Technologies. 2020; 4(1): 14-17.
IEEE A. Berkol , E. Tartan ve Y. Eki̇ci̇ , "Anemia Diagnosis By Using Artificial Neural Networks", International Journal of Multidisciplinary Studies and Innovative Technologies, c. 4, sayı. 1, ss. 14-17, Tem. 2020
Makalenin Yazarları
Ali BERKOL [1]
Emre TARTAN [2]
Yahya EKİCİ [3]
Makale Gönder
Arşiv
Editör Kurulu
İletişim