Analysis of Big Data in Healthcare Using Decision Tree Algorithm

Abstract

Era of technological developments, big data has been widely implemented in various any company especially healthcare. Big data has opened up new gaps in health care. Big data in healthcare has the potential to improve better healthcare. The effective use of Big data can reduce health care problems such as how to provide proper care, maximum care solutions, and improve existing systems of health care. There are 6 defining domains in Big Data, which are Vol., and etc. Big data represents a variety of opportunities to improve the quality and efficiency of healthcare. Big Data in healthcare need to expanded and explore utilize big data analytics to gain valuable knowledge. Big data analytics is used to catch value any information from all kinds of sources in healthcare that can be used to gain information for the purpose of better decision making in healthcare. Big data analytics in healthcare has the prospect to increased healthcare by discovering decision tree and understanding formats and trends in medical record data. Cardiovascular illness datasets is big data in healthcare which is one or others resources in the health sector and is used as part of facilitating the process of documenting medical records that must be analysed to offer an effective solution to solve problems in healthcare. This paper provides valuable information by using big data analytics from medical data cardiovascular disease to provide effective solutions for the problems in healthcare and also provide how important big data for healthcare is.