I have a dataset for the lifetime(after a surgery) of a patient and the age of the patient and have to make a binary variable for the following:
The medical department of the hospital assumes that the estimated life of a patient is 85 years, and states that a patient survived a certain disease if the following rule applies. If the patient lived more than 25% of the remaining life time from current age till the estimated life time, then the patient is considered as “surviver” from the disease. When this is not the case, it is assumed that the patient died from the diagnosed disease, hence “non-surviver”. As the patient data set does not yet have this binary target feature, you need to create such binary variable for conducting the further classification analysis.
I made the following expression but do not know if it is right.
data["Survived"] = (((85-data['Age'])*0.25) <= (data['LifeTime']/365)) * 1
