Performance Analysis of Stroke Prediction using Robust Machine Learning Algorithms

IF 0.4 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

International Journal of Data Mining Modelling and Management Pub Date : 2022-08-08 DOI:10.46610/jodmm.2022.v07i02.002

Suchetha N V, S. ., Susheel C. Nagur, V. B S, Varun S Hiremat

引用次数: 0

Abstract

Stroke is one of the major causes of mortality all over the world. Stroke is caused when the blood flow to the brain is obstructed. The poor blood flow causes death of brain cells and eventually, it may result in death of the person. In this work, three different machine learning algorithms are being used for the prediction of stroke risk, Decision Tree, K Nearest Neighbors and Random Forest. Among these, Random Forest model provides better accuracy of 94.1%. As Compared to traditional methods, using machine learning for the prediction of stroke is convenient and also economical.

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基于鲁棒机器学习算法的中风预测性能分析

中风是全世界死亡的主要原因之一。中风是由于流向大脑的血液被阻塞而引起的。血液流动不畅导致脑细胞死亡，最终可能导致人死亡。在这项工作中，三种不同的机器学习算法被用于预测中风风险，决策树，K近邻和随机森林。其中，随机森林模型的准确率较高，达到94.1%。与传统方法相比，利用机器学习进行脑卒中预测既方便又经济。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Data Mining Modelling and Management COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-

CiteScore

1.10

自引率

0.00%

发文量

期刊介绍： Facilitating transformation from data to information to knowledge is paramount for organisations. Companies are flooded with data and conflicting information, but with limited real usable knowledge. However, rarely should a process be looked at from limited angles or in parts. Isolated islands of data mining, modelling and management (DMMM) should be connected. IJDMMM highlightes integration of DMMM, statistics/machine learning/databases, each element of data chain management, types of information, algorithms in software; from data pre-processing to post-processing; between theory and applications. Topics covered include: -Artificial intelligence- Biomedical science- Business analytics/intelligence, process modelling- Computer science, database management systems- Data management, mining, modelling, warehousing- Engineering- Environmental science, environment (ecoinformatics)- Information systems/technology, telecommunications/networking- Management science, operations research, mathematics/statistics- Social sciences- Business/economics, (computational) finance- Healthcare, medicine, pharmaceuticals- (Computational) chemistry, biology (bioinformatics)- Sustainable mobility systems, intelligent transportation systems- National security