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Machine Learning-Based Prediction of Acute Kidney Injury in Patients Admitted to the ICU with Sepsis: A Systematic Review of Clinical Evidence.
- Source :
- Journal of Critical & Intensive Care; Apr2024, Vol. 15 Issue 1, p37-43, 7p
- Publication Year :
- 2024
- Subjects :
- MEDICAL information storage & retrieval systems
RISK assessment
CRITICALLY ill
PATIENTS
PREDICTION models
HOSPITAL admission & discharge
ACUTE kidney failure
DESCRIPTIVE statistics
SYSTEMATIC reviews
MEDLINE
INTENSIVE care units
SEPSIS
MACHINE learning
DATA analysis software
ONLINE information services
ALGORITHMS
DISEASE risk factors
DISEASE complications
Subjects
Details
- Language :
- English
- ISSN :
- 27176428
- Volume :
- 15
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Journal of Critical & Intensive Care
- Publication Type :
- Academic Journal
- Accession number :
- 178328284
- Full Text :
- https://doi.org/10.14744/dcybd.2023.3620