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

View Sample PDF

Author(s): Nilamadhab Mishra (VIT Bhopal University, India)and Swagat Kumar Samantaray (Vit Bhopal University, India)
Copyright: 2023
Pages: 22
Source title: Digital Twins and Healthcare: Trends, Techniques, and Challenges
Source Author(s)/Editor(s): Loveleen Gaur (Amity University, India & Taylor's University, Malaysia & University of the South Pacific, Fiji)and Noor Zaman Jhanjhi (Taylor's University, Malaysia)
DOI: 10.4018/978-1-6684-5925-6.ch013

Keywords: Medical Information Science Reference / Medical Technologies / Medicine & Healthcare

Purchase

View Review on Knowledge-Centric Healthcare Data Analysis Case Using Deep Neural Network for Medical Data Warehousing Application on the publisher's website for pricing and purchasing information.

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.

The IRMA Community

Research IRM

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

Purchase

Abstract

Related Content

IRMA Sponsors