In epidemiological research, understanding the relative importance of various risk factors is crucial for designing effective interventions and public health policies. Shapley values offer a systematic way to decompose the impact of multiple variables, which can help in identifying the most significant contributors to health outcomes. This is particularly useful when dealing with complex, multifactorial diseases.
