Abstract
Diabetes is a common disease in recent years. Almost 50–60% of human being in the society suffer from diabetes respective of new born baby to elderly people including male and female. Due to the food habits and stressful life the disease occurs as per the suggestion of the physicians. Also it is found that for most of the cases the disease is hereditary. In this work authors have considered the Indian ladies for this disease analysis. Proper diagnosis requires accurate measurement that helps the ladies to give birth the healthy children. The data has been collected from PIMA Indian Diabetes database and are analyzed. As the database has vast the concept is based on Data Mining techniques and Big data analysis. Deep Neural Network (DNN) is used to analyze the data and disease. The result for different data set is shown in the result section. The measurement is done based on Root mean square error (RMSE).
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https://archive.ics.uci.edu/ml/datasets/pima+indians+diabetes
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Mohapatra, S.K., Mohanty, M.N. (2019). Analysis of Diabetes for Indian Ladies Using Deep Neural Network. In: Mallick, P., Balas, V., Bhoi, A., Zobaa, A. (eds) Cognitive Informatics and Soft Computing. Advances in Intelligent Systems and Computing, vol 768. Springer, Singapore. https://doi.org/10.1007/978-981-13-0617-4_26
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DOI: https://doi.org/10.1007/978-981-13-0617-4_26
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