Prediction of Stroke Risk Factors for Better Pre-emptive Healthcare: A Public-Survey-Based Approach

This repository contains the code for our

ICACIE 2019 paper

Prediction of Stroke Risk Factors for Better Pre-emptive Healthcare: A Public-Survey-Based Approach
in ICACIE 2019

If you find the code useful for your research, please cite our paper:

Banerjee D., Singh J. (2021) Prediction of Stroke Risk Factors for Better Pre-emptive Healthcare: A Public-Survey-Based Approach. In: Panigrahi C.R., Pati B., Mohapatra P., Buyya R., Li KC. (eds) Progress in Advanced Computing and Intelligent Engineering. Advances in Intelligent Systems and Computing, vol 1199. Springer, Singapore. https://doi.org/10.1007/978-981-15-6353-9_2

for dataset details : BRFSS

for initial set-up :

the given code was run on -
1. UBUNTU-16.04 with 4-CORE processor and 8 GB RAM
2. RStudio with R version 3.6.3
3. H2O library called from RStudio IDE

Figure 1 :

feature_selection.rmd

Figure 2 :

interFeature_correlation.rmd

Figure 4 :

featureTarget_correlation.rmd

Figure 3 :

model_building.rmd

Figure 5 :

downsampledModel_building.rmd

Figure 6 :

downsampledModel_building.rmd

Table 1 :

feature_selection.rmd

Table 2&3 :

downsampledModel_building.rmd