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Recommender System for Prevention of Juvenile Plantar Dermatosis Disease

L. Arockiam, S. Charles, C. Lalitha, A. Sujanitha, V. Arul Kumar


Juvenile Plantar Dermatosis (JPD) known as sweaty sock syndrome. It affects the skin, which becomes scaly and red on the soles of the feet of the children and the young teenagers. A new framework is developed to provide an offline solution for JPD using descriptive and predictive modeling. The symptoms and stages of JPD are classified using clustering and decision tree technique. In clustering technique, the patients’ objects are categorized using symptoms. The decision tree method has been employed for finding the decision rule based on symptoms, which is used for recommendation. The recommendations are useful to the patients those who are affected by the JPD disease.


K-means, Clustering, JPD, Decision Tree.

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