SHAP-based interpretable machine learning for injury risk prediction in university football players: a multi-dimensional data analysis approach
Jiacheng Ma; Shengrui Liu; Yuting Pei · 2025 · Scientific Reports
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Sports injury prediction is crucial for university football player health, yet existing research predominantly focuses on professional athletes and lacks interpretability. Using the Kaggle "University Football Injury Prediction Dataset"…
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Metadata source: OpenAlex · DOI 10.1038/s41598-025-24144-y