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What Your Heart Rate Is Telling You

Examine the relationship between heart rate and heart disease using multiple logistic regression.

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10 Tasks1,500 XP

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Project Description

Heart disease is the [leading cause of death in the United States](https://www.cdc.gov/heartdisease/facts.htm). Researchers are using several data mining techniques to help health care professionals in the diagnosis of heart disease. In this project, you will examine the relationship between the maximum heart rate one can achieve during exercise and the likelihood of developing heart disease. Using multiple logistic regression, you will handle the confounding effects of age and gender. This project uses the Cleveland heart disease dataset.

Project Tasks

  1. 1
    Heart disease and potential risk factors
  2. 2
    Converting diagnosis class into outcome variable
  3. 3
    Identifying important clinical variables
  4. 4
    Explore the associations graphically (i)
  5. 5
    Explore the associations graphically (ii)
  6. 6
    Explore the associations graphically (iii)
  7. 7
    Putting all three variables in one model
  8. 8
    Extracting useful information from the model output
  9. 9
    Predicted probabilities from our model
  10. 10
    Model performance metrics

Technologies

R R

Topics

Data ManipulationData VisualizationProbability & StatisticsImporting & Cleaning Data
Amy Yang Headshot

Amy Yang

Senior Data Scientist at Uptake

Amy Yang is a Sr. Data Scientist at Uptake where she conducts industrial analytics and build prediction models to major industries and help them increase productivity, security, safety, and reliability. She began using R for simulation and statistical analysis during her study at the University of Pennsylvania where she received her MS degree in Biostatistics. She also teaches R programming and statistical courses for graduate students.
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