Review on Knowledge-Centric Healthcare Data Analysis Case Using Deep Neural Network for Medical Data Warehousing Application

Abstract

Data in medical data warehouses are often used in data analytics and online analytical processing tools. OLAP techniques do not process enterprise data for hidden or unknown intelligence. The data analytics process takes data from a medical data warehouse as input and identifies the hidden patterns; i.e., data analytics process extracts hidden predictive information from the medical data warehouse through the deep neural networks tools. In this work, the authors attempt to identify the hidden patterns in context to healthcare data analytics case analytics using deep neural networks for medical applications. The authors have experimented with the deep network algorithms for the healthcare data set used through controlled learning that is to be carried out with the medical data set.