Function engineering methods for healthcare information evaluation, specializing in real-world challenges and sensible options.
On this tutorial, we proceed the venture Methods in Function Engineering: Actual-World Healthcare Knowledge Challenges — Half I, diving into a brand new sequence of function engineering methods. Mission hyperlink: GitHub
This time, we’ll leverage area information to make function engineering more practical. What does that imply? It includes understanding the precise area we’re analyzing to extract hidden insights from the dataset.
Seen data is simple — suppose lacking values, outliers, creating new variables, or re-categorizing present ones. However uncovering hidden data calls for a extra in-depth method.
This degree of study typically solely turns into potential as you achieve expertise and begin tackling superior tasks. Our focus right here is to apply function engineering grounded in information particular to our area — on this case, healthcare.