Feature engineering is an important step in analytics. Some may say this is THE most important step. I typically spend between 50-70% of the time of an analytic exercise on feature engineering. What is it: In the predictive modeling context, features are basically elements of the data. E.g. age of patients, diagnoses and procedures patients have had … Continue reading Feature engineering for health analytics