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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

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Reference TypeJournal (article/letter/editorial)
TitlePrediction of the Injury Severity of Accidents at Work: A New Approach to Analysis of Already Existing Statistical Data
JournalApplied Sciences
AuthorsOrdysiński, SzymonAuthor
Year2025 (October 2)Volume15
Issue19
PublisherMDPI AG
DOIdoi:10.3390/app151910666Search in ResearchGate
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Mindat Ref. ID19036796Long-form Identifiermindat:1:5:19036796:3
GUID0
Full ReferenceOrdysiński, 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 TextOrdysiński, 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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