क्यूआर कोड

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...

पूर्ण विवरण

में बचाया:
मुख्य लेखकों: Yupeng Li, Junyi Fan, Kamiar Alaei, Maryam Pishgar
स्वरूप: Artigo
भाषा:Inglês
प्रकाशित: MDPI AG 2026-01-01
श्रृंखला:BioMedInformatics
विषय:
sepsis
machine learning
sepsis-associated liver injury
XGBoost
MIMIC-IV
intensive care unit (ICU)
ऑनलाइन पहुंच:https://www.mdpi.com/2673-7426/6/1/4
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