ISSN : 2319-7323

INTERNATIONAL JOURNAL OF COMPUTER SCIENCE ENGINEERING

ABSTRACT

Title	:	Skin Disease Prediction Using Neural Network Algorithm
Authors	:	Dr. S. Vijayarani, Ms. E. Suganya, Ms. S.Sowmiya
Keywords	:	Classification, Random Forest, Recursive Partitioning, SVM-Linear, SVM-Kernel, Neural Network
Issue Date	:	Nov-Dec 2020
Abstract	:	Data mining is the process of analyzing the existing data and extracting useful information out of it. Sometimes data mining used to predict the future based on the existing data. It also finds the relation between the existing data and based on the relation it predicts the outcome of the remaining data. There are several methodologies used for these problems like classification, clustering, regression, rule generation, etc.Classification is a type of data mining algorithm used to predict class labels and classify the data to a particular class based on training data sample and then is used to classify the new test data sets.The main aim of the research work is to predict the six types of skin cancer diseases such as Melonoma, Basal cell carcinoma, Benign Keratosis-Like Lesions, Vascular Lesions, Dermatofibroma, andAkiec using data mining classification algorithms which are Random Forest, Recursive Partitioning, SVM-Linear, SVM-Kernel are used for classification. In addition to this, the research work neural network was proposed for classification and get better accuracy.
Page(s)	:	397-418
ISSN	:	2319-7323
Source	:	Vol. 9, No. 6