TY  - JOUR
T1  - Eczema Disease Detection and Recognition in Cloud Computing
AU - Abdulbaki, Azmi Shawkat AU - Najim, Saif Al-din M. AU - Khadim, Samir Abdulrasoul 
JO  - Research Journal of Applied Sciences
VL  - 13
IS  - 3
SP  - 182
EP  - 188
PY  - 2018
DA  - 2001/08/19
SN  - 1815-932x
DO  - rjasci.2018.182.188
UR  - https://makhillpublications.co/view-article.php?doi=rjasci.2018.182.188
KW  - BpNN
KW  -cloud computing
KW  -EDD (Eczema Disease Detection)
KW  -skin inflammation
KW  -GA (Genetic Algorithm)
KW  -system
AB  - Eczema Disease (ED) is the most common form of skin inflammation in humans. Most of the skin
disease is curable at initial stages with the advancement of technology. So, an early detection of skin disease
can save the patient’s life and prevent the progression of the disease. It is proposed to have a study on the
diagnosis of ED using BPNN (Back Propagation Neural Network) in cloud computing approach due to that
BpNN is currently widespread research area in medicine and plays an important role in a decision support
system. In this study, an attempt has been made to make use of BpNN in the medical field along cloud
computing to detect ED.
ER  -