Analysis And Diagnosis Using Deep -Learning Algorithm On Erythemato-Squamous Disease
MLA Style: Gopalakrishnan.S, Dr.Ebenezer Abishek.B, Dr. A. Vijayalakshmi, Dr. V. Rajendran "Analysis And Diagnosis Using Deep -Learning Algorithm On Erythemato-Squamous Disease" International Journal of Engineering Trends and Technology 69.3(2021):52-57.
APA Style:Gopalakrishnan.S, Dr.Ebenezer Abishek.B, Dr. A. Vijayalakshmi, Dr. V. Rajendran. Analysis And Diagnosis Using Deep -Learning Algorithm On Erythemato-Squamous Disease International Journal of Engineering Trends and Technology, 69(3),52-57.
Dermatological diseases (Skin disease)are a common health issue that is caused because of various factors in the current period. A serious problem in dermatology is considered as a diagnosis of Erythemato-squamous disease (ESD), which is identified as one of the skin disease categories. This affects the skin by causing redness in the skin layer and also leads to loss and damage of the skin. This sort of dermatological issue occurs because of environmental and genetic factors. Here we develop different machine-learning techniques, which can diagnose Erythemato-squamous disease. To help the experts in the field of medicine for the purpose of disease diagnosis, the classification and acknowledgment frameworks have been improved in a higher aspect. Here to diagnose the ESD, we have developed distinct techniques in machine-learning. Certain illnesses, for example, lichen planus, seboreic dermatitis, pityriasis rubra pilaris, pityriasis rosea, persistent dermatitis&psoriasisare the six-skin class condition which is arranged under ESD. The diagnosis of automatic on ESD couldaid dermatologists& specialists in diminishing endeavors on their side and accepting immediate decisions on treatment. This writing is loaded with an activity that utilized customary AI strategies for the finding of ESD. Be that as it may, there aren`t numerous occurrences of the use of Deep-learning for the analysis of ESD.
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diagnose, machine learning, deep learning, Erythemato, squamous, disease.