An Interactive Healthcare System of Big Data Application with Predictive Model Analysis

Abstract

Currently, scientific research on healthcare demand to develop an interactive solution to provide healthy life facility with earlier disease detection to the user. In the recent time, healthcare industries are generating lots of unstructured or semi-structured data which needs to be analyzed and processed in real time. In this paper, we have designed a healthcare system to deal with patients biological, and emotional condition as well as the previous health history with genetical data. The data generated by the patient and the hospital are gathered in High-Performance Computer server, and the medical history, as well as genetical data, are collected from the cloud synchronization. We proposed a probabilistic data acquisition scheme to analyze the data and apply MapReduce algorithm in HPC to make structure database. The system holds a data warehouse which provides a two-way interaction between HPC and cloud for interactive information gathering. In this research, we present a prediction algorithm which is performed in cloud server to predict a patients disease. We apply Random Forest, SVM, C5.0, Naive Bayes and Arti cial Neural Network for prediction analysis and shows the side by side comparison on those algorithms. i