Ulcerative colitis diagnosis based on artificial intelligence system
Other Title(s)
تشخيص التهاب القولون المزمن بالاعتماد نظام الذكاء الاصطناعي
Joint Authors
Abd al-Wahid, Sayf Husam
al-Jafari, Muhannad Adnan Muhammad
al-Rabii, Muhammad Abd al-Abbas Tawfiq
al-Nukhaylawi, Yusuf Jawad Kazim
Ali, Amir Husayn
Source
Journal of University of Babylon for Engineering Sciences
Issue
Vol. 28, Issue 2 (31 Dec. 2020), pp.92-98, 7 p.
Publisher
Publication Date
2020-12-31
Country of Publication
Iraq
No. of Pages
7
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Ulcerative colitis (UC) disease is irritation of the colon that is frequently related to infection and immune compromise.
The wall of the colon with inflammation is always thicker than normal.
UC may be life-threatening and lead to death if not detected early.
Early detection of this disease is very important to initiate appropriate treatment.
In this paper, the Artificial Neural Network (ANN) applied to detect the UC according to a theoretical dataset generated by the criteria of UC.
The Levenberg-Marquardt (LM) algorithm has trained the single hidden layer ANN.
The best behaviour is equal to 1.9947×10-24for the system which the number of neurons =4.
American Psychological Association (APA)
al-Rabii, Muhammad Abd al-Abbas Tawfiq& Ali, Amir Husayn& al-Nukhaylawi, Yusuf Jawad Kazim& al-Jafari, Muhannad Adnan Muhammad& Abd al-Wahid, Sayf Husam. 2020. Ulcerative colitis diagnosis based on artificial intelligence system. Journal of University of Babylon for Engineering Sciences،Vol. 28, no. 2, pp.92-98.
https://search.emarefa.net/detail/BIM-1316715
Modern Language Association (MLA)
al-Rabii, Muhammad Abd al-Abbas Tawfiq…[et al.]. Ulcerative colitis diagnosis based on artificial intelligence system. Journal of University of Babylon for Engineering Sciences Vol. 28, no. 2 (2020), pp.92-98.
https://search.emarefa.net/detail/BIM-1316715
American Medical Association (AMA)
al-Rabii, Muhammad Abd al-Abbas Tawfiq& Ali, Amir Husayn& al-Nukhaylawi, Yusuf Jawad Kazim& al-Jafari, Muhannad Adnan Muhammad& Abd al-Wahid, Sayf Husam. Ulcerative colitis diagnosis based on artificial intelligence system. Journal of University of Babylon for Engineering Sciences. 2020. Vol. 28, no. 2, pp.92-98.
https://search.emarefa.net/detail/BIM-1316715
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 96-97
Record ID
BIM-1316715
