top of page

Predicting Heart Failure using Biostatistical Analysis

Updated: Aug 25, 2021


Goal: Analysis of health factors to predict a patient's survival rate from heart disease.

 

Question

What health factors are the biggest indicator of heart failure that lead to a death event?


Role & Process

I performed exploratory data analysis and explained the relation between a patient's follow-up time, age, and death event. I utilized least-squares regression, ANOVA,

and hypothesis testing for the analysis. As a group, we utilized multiple methods of statistical analysis including chi square and t-test.


Conclusion

We concluded that the most important factors that can predict heart failure leading to a death event include serum creatinine, ejection fraction, and age. A higher level of serum creatinine and a low ejection fraction can lead to a death event, and the likelihood of a death event increases as patients age.


Tools Used

  • Statistical Analysis

  • Excel

  • JASP

 

0 comments

Comments


bottom of page