• T Praveena
• J Swami Naik

Disease prediction has long been thought to be a crucial topic. Artificial intelligence and machine learning techniques have already been developed to resolve this kind of medical care problem. Recently, neural network ensembles have been successfully used in a reasonably applications together with to help in diagnosing. Artificial intelligence with NN (neural network) can significantly improve the generalization ability of learning systems through training a finite vary of neural networks so combining their results. However, the performance of multiple classifiers in disease prediction is not whole understood. The key purpose of this study is to analyze the assorted factors those impact the Indian woman using CNN-MDP and using totally different classifiers additionally, we have a tendency to use varied evaluation criteria to look at the performance of those classifiers with real-life datasets. We have a tendency to experiment the changed prediction models over real-life hospital data collected from major states of India in 2014, 2015, 2016 and 2017.

Big data analytics, machine learning, healthcare, Disease Prediction in Indian Woman

"Disease Prediction In Indian Women By Machine Learning Over Big Data From Healthcare Communities", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 8, page no.643-650, August-2018, Available :http://www.jetir.org/papers/JETIR1808570.pdf

"Disease Prediction In Indian Women By Machine Learning Over Big Data From Healthcare Communities", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 8, page no. pp643-650, August-2018, Available at : http://www.jetir.org/papers/JETIR1808570.pdf