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Feature Engineering in Healthcare Analytics

Jason Rudy, Data Scientist / Programmer and Matt Lewis, Programmer / Product Manager

In a previous blog post, we walked through the process of building a predictive model using healthcare data. One of the things we touched on briefly there, was how important proper feature engineering can be to creating a useful representation of the underlying data, and how the choices made around shaping data into features can change the nature and performance of the resulting model. 

In this post, we’ll be going deeper into the process of feature engineering, and how to convert raw data inputs into a form that will make machine learning not only possible, but effective. 

Tags: Feature Engineering, Data Analytics, Machine Learning, Predictive Modeling, Healthcare, Longitudinal Data, HEDIS, Phenotype

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