The technological advancements in the field of computer assisted technologies has been very beneficial for the healthcare sector, as now there is an abundance of clinical information available, which can be used for various researches related to the diagnosis and prediction of various diseases.. So, this article predicts diseases and observed diseases causing variable.Approaches:  This work presents the application of big data the field ofhealthcare, and we will apply t-SNE and PCA algorithm on a big data set of medical data.Outcomes:We found that the t- SNE algorithm is applied most frequently followed by the PCA algorithms. However, the K-means algorithm showed superior accuracy comparatively. Of the more studies where it was applied, variable showed the highest accuracy in 3 of them. This was followed by t- SNE which topped in of the studies it was considered in Big data analytics solution.Impact: The inclusion of data mining methodologies for prediction of any disease is a significant thing since it enables us to predict any sickness prior to that it threatens the individual; youngster, youthful and elderly folk’s individuals.

Index Terms- t-SNE, PCA, Decision-Making, Big data analytics