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A prediction model for 30-day mortality of sepsis patients based on intravenous fluids and electrolytes
Author(s) -
Yan Wang,
Songqiao Feng
Publication year - 2022
Publication title -
medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.59
H-Index - 148
eISSN - 1536-5964
pISSN - 0025-7974
DOI - 10.1097/md.0000000000030578
Subject(s) - medicine , confidence interval , sepsis , training set , subgroup analysis , artificial intelligence , computer science

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