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Using the National Trauma Data Bank (NTDB) and machine learning to predict trauma patient mortality at admission
A 400-estimator gradient boosting classifier was trained to predict survival probabilities of trauma patients. The National Trauma Data Bank (NTDB) provided 799233 complete patient records (778303 survivors and 20930 deaths) each containing 32 features, a number further reduced to only 8 features vi...
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| Yayımlandı: | PLoS One |
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| Asıl Yazarlar: | , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Public Library of Science
2020
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7671512/ https://ncbi.nlm.nih.gov/pubmed/33201935 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0242166 |
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