Analyze heart patients characteristics
You want to understand how different characteristics of the heart change patients' survival outcomes. If you can identify warning signs, maybe you can apply treatments and increase patients' chances of survival!
You will regress patient characteristics against their survival durations using Weibull accelerated failure time (AFT) model.
In this enriched dataset, you have a few more data points about each patient in the heart_patients DataFrame. Use the console to explore the column names. The pandas and numpy packages are loaded as pd and np.
This exercise is part of the course
Survival Analysis in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Import WeibullAFTFitter and instantiate
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aft = ____