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

14th International Conference on Science, Engineering and Technology

自然科学;工业技术

Chugh, Saryu^1 ; Arivu Selvan, K.^1 ; Nadesh, R.K.^1

School of Information Technology and Engineering, VIT University, Vellore

Tamil Nadu

632014, India^1

关键词: Break down;    Coronary disease;    Dispersed environments;    Gradient boosting;    Human bodies;    Prediction of heart disease;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/263/4/042078/pdf
DOI  :  10.1088/1757-899X/263/4/042078

来源: IOP

【 摘 要 】

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.