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

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...

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Vydáno v:IOP conference series. Materials Science and Engineering Ročník 263; číslo 4
Hlavní autoři: Chugh, Saryu, Arivu Selvan, K, Nadesh, RK
Médium: Journal Article
Jazyk:angličtina
Vydáno: Bristol IOP Publishing 01.11.2017
Témata:
Algorithms
Data structures
Decision analysis
Decision trees
Disease
Heart diseases
Hypertension
Neural networks
Profitability
ISSN:1757-8981, 1757-899X
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Shrnutí: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.
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ISSN:1757-8981
1757-899X
DOI:10.1088/1757-899X/263/4/042078