Health Informatics and Technology

Biography

Biography: Syed Imtiaz Ali Rizvi

Abstract

Healthcare information are traditionally collected through surveys, which are although a direct source but much of the healthcare information is hidden. There should be an indirect way to collect the healthcare information about individuals and communities. Such information provide a real-time insight into the health situation of individuals or communities. Currently Data warehousing is a common source in Businesses to get information to plan and to know the current and future trends in business. The main source of business data are individuals and communities; so why not this huge reservoir of information is used for healthcare. In this article we describe two analytical techniques based on support vector machines (SVMs) for data analysis and support vector regression (SVR) to extract and classify healthcare information from a typical Business data warehouse about individuals and communities. Working out on data collection of a local chain of retail market in UAE and from the purchase habits of consumers get their healthcare information. Different kernels are be used in Support of Vector Machines models. These include linear, polynomial, radial basis function (RBF) and sigmoid as part of mapping system and analysis of healthcare information. The results show that using SVM method as analytical and classification tool for healthcare data is promising and comparable to other techniques like ANN. Finally this technique can be used to correlate the extracted information with the existing standards of International health organizations at a national and global level and suggest the change in purchase habits of individuals and communities in context of healthcare.