Multi-Factor Based Stroke Risk Analysis
DOI:
https://doi.org/10.58445/rars.3567Keywords:
Stroke Risk, Risk Factor Analysis, Public HealthAbstract
This research study aims to understand various factors such as health conditions, work type, marriage status, smoking status, age and other factors on the risk of someone having a stroke. This research study uses T Tests and 95% Confidence intervals based on binary factors to analyze risk of strokes, and using T Tests and intervals to compare among groups. However, when there were range based variables such as age and glucose level, what was done was that there were bar graphs to compare among age ranges for risk of stroke or glucose ranges, or BMI ranges as well. What was seen was that marriage, and work type were unexpectedly strong predictors to predict stroke risk, while heart disease and smoking again showed themselves to be strong predictors as well. Additionally, what was seen was that there was an influence of age and corresponding factors to certain factors as well that could skew data, such as heart disease and age being correlated and thus skewing results, or even with work type, older people being in certain sectors which could skew risks of stroke. However, in total, this paper examines precedents of stroke risk factors, and sees their actuality, while also seeing unexpected results as well with other factors.
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