OBJECTIVE
Evaluate whether cardiotocography measurements could be organized into useful classification rules for distinguishing fetal health categories.
APPROACH
Explored the CTG variables, prepared the data in R, and compared conditional inference trees with recursive partitioning using ctree and rpart. Reviewed tree structure, splits, and classification behavior.
ANALYTICAL VALUE
Showed how interpretable models can convert complex clinical measurements into decision paths that are easier to explain than black-box predictions.
SKILLS SHOWN
Exploratory analysis, decision trees, healthcare data, classification, model interpretation, and comparative modeling.
TOOLS
RctreerpartHealthcare Data
Visualization note: The visual above is a portfolio reconstruction based on the project methods and deliverables. It is provided to demonstrate the analysis without reproducing restricted course or organizational materials.