@article{MAKHILLRJAS201813310078,
    title = {Eczema Disease Detection and Recognition in Cloud Computing},
    journal = {Research Journal of Applied Sciences},
    volume = {13},
    number = {3},
    pages = {182-188},
    year = {2018},
    issn = {1815-932x},
    doi = {rjasci.2018.182.188},
    url = {https://makhillpublications.co/view-article.php?issn=1815-932x&doi=rjasci.2018.182.188},
    author = {Azmi Shawkat,Saif Al-din M. and},
    keywords = {BpNN,cloud computing,EDD (Eczema Disease Detection),skin inflammation,GA (Genetic Algorithm),system},
    abstract = {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.}
    }