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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

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Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Import WeibullAFTFitter and instantiate
____
aft = ____
Edit and Run Code