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