In:
International Journal of Recent Technology and Engineering (IJRTE), Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP, Vol. 8, No. 5 ( 2020-01-30), p. 1193-1197
Abstract:
Among neurological patients, stroke is a significant concern that can lead to permanent disability or may cause death. Determining the contributing factors to stroke would better enable proactive forms of healthcare measures to be taken for reducing mortality and other effects of this disease. Numerous works have been carried out for determining the various factors which contribute to stroke. The goal of this work is to identify the factors which may cause stroke by proposing a Decision Support System. In this research work, various medical and psychological parameters are analyzed with the aim of determining association between these parameters and stroke. The methodology includes appropriate feature selection, attribute type conversion, univariate and multivariate analysis. Data mining techniques such as Chi square test and Frequency Distribution analysis are used for hypothesis testing and drawing inferences. The analysis shows that psychological factors such as Marital Status, Employment Status, and Age Group are the major contributors, which may lead to stroke in comparison to Medical factors. The findings can be used as a proactive measure for individuals who have high possibility of developing stroke. This work can also be used as a foundation to build a recommendation system for prevention of stroke.
Type of Medium:
Online Resource
ISSN:
2277-3878
DOI:
10.35940/ijrte.2277-3878
DOI:
10.35940/ijrte.E5747.018520
Language:
Unknown
Publisher:
Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
Publication Date:
2020
detail.hit.zdb_id:
2722057-6
