From prediction to explanation
The IEEE Access study explores thyroid disease classification using machine learning alongside explanation methods. Feature attribution examines which inputs influence a prediction. Counterfactual reasoning explores how changed inputs might change the model output.
Keeping the research context in view
Explanations help researchers inspect a model. They do not, on their own, establish suitability for clinical use. The paper should be read alongside its validation design and stated limitations.
Explore the publication
The publisher record provides the methods and results.