SURVEY ON PREDICTING SLE IN PREGNANT WOMEN BY USING CLASSIFICATION ALGORITHM

Dithy MD Rahul, Dr. V. Krishnapriya

Abstract


Abstract: Systemic lupus erythematosus (SLE) is a chronic immune disease that affects both male and female, but mostly it is caused by the female during menstrual periods which almost affect all the organs of the human body. Predicting this disease is difficult in the early stage the patients suffering from SLE live their life with treatment. Women are having SLE faces many risks during pregnancy due this abortion occur and infant is born with less weight. After predicting the patient’s disease, it is difficult to store in a huge database, it includes patient’s complete history. Thus the data mining, classification approach is used for the competent analysis of the information to predict the disease in advance. This review is about predicting the database of the patients having SLE by using classification algorithm.

Keywords


SLE, data mining, decision tree, artificial neural network

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References


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DOI: https://doi.org/10.26483/ijarcs.v8i7.4395

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