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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.

Bu egzersiz

Survival Analysis in Python

kursunun bir parçasıdır
Kursu Görüntüle

Uygulamalı interaktif egzersiz

Bu örnek kodu tamamlayarak bu egzersizi bitirin.

# Import WeibullAFTFitter and instantiate
____
aft = ____
Kodu Düzenle ve Çalıştır