Ordysiński, Szymon (2025) Prediction of the Injury Severity of Accidents at Work: A New Approach to Analysis of Already Existing Statistical Data. Applied Sciences, 15 (19). doi:10.3390/app151910666
| Reference Type | Journal (article/letter/editorial) | ||
|---|---|---|---|
| Title | Prediction of the Injury Severity of Accidents at Work: A New Approach to Analysis of Already Existing Statistical Data | ||
| Journal | Applied Sciences | ||
| Authors | Ordysiński, Szymon | Author | |
| Year | 2025 (October 2) | Volume | 15 |
| Issue | 19 | ||
| Publisher | MDPI AG | ||
| DOI | doi:10.3390/app151910666Search in ResearchGate | ||
| Generate Citation Formats | |||
| Mindat Ref. ID | 19036796 | Long-form Identifier | mindat:1:5:19036796:3 |
| GUID | 0 | ||
| Full Reference | Ordysiński, Szymon (2025) Prediction of the Injury Severity of Accidents at Work: A New Approach to Analysis of Already Existing Statistical Data. Applied Sciences, 15 (19). doi:10.3390/app151910666 | ||
| Plain Text | Ordysiński, Szymon (2025) Prediction of the Injury Severity of Accidents at Work: A New Approach to Analysis of Already Existing Statistical Data. Applied Sciences, 15 (19). doi:10.3390/app151910666 | ||
| In | (2025, September) Applied Sciences Vol. 15 (19). MDPI AG | ||
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