Prediction of heart disease using apache spark analysing decision trees and gradient boosting algorithm

• Published in: IOP conference series. Materials Science and Engineering Vol. 263; no. 4
• Main Authors: Chugh, Saryu, Arivu Selvan, K, Nadesh, RK
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.11.2017
• Subjects: Algorithms; Data structures; Decision analysis; Decision trees; Disease; Heart diseases; Hypertension; Neural networks; Profitability
• ISSN: 1757-8981; 1757-899X
• DOI: 10.1088/1757-899X/263/4/042078

Numerous destructive things influence the working arrangement of human body as hypertension, smoking, obesity, inappropriate medication taking which causes many contrasting diseases as diabetes, thyroid, strokes and coronary diseases. The impermanence and horribleness of the environment situation is also the reason for the coronary disease. The structure of Apache start relies on the evolution which requires gathering of the data. To break down the significance of use programming focused on data structure the Apache stop ought to be utilized and it gives various central focuses as it is fast in light as it uses memory worked in preparing. Apache Spark continues running on dispersed environment and chops down the data in bunches giving a high profitability rate. Utilizing mining procedure as a part of the determination of coronary disease has been exhaustively examined indicating worthy levels of precision. Decision trees, Neural Network, Gradient Boosting Algorithm are the various apache spark proficiencies which help in collecting the information.