Development of Machine Learning Models to Predict 28-Day Mortality in Patients with Sepsis-Associated Liver Injury
<b>Background:</b> Sepsis-associated liver injury (SALI) is a serious complication of sepsis that increases the risk of organ dysfunction and mortality; however, early identification of high-risk patients remains difficult due to nonspecific clinical features and complex pathophysiology. This study...
I tiakina i:
| Ngā kaituhi matua: | , , , |
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| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
MDPI AG
2026-01-01
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| Rangatū: | BioMedInformatics |
| Ngā marau: | |
| Urunga tuihono: | https://www.mdpi.com/2673-7426/6/1/4 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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