PubMedopen access
MedFusion-gP-AKI: development and multicenter validation of a machine learning fusion model for early prediction of KDIGO stage 3 acute kidney injury in critically ill traumatic cervicothoracic spinal cord injury patients.
humans, spinal cord injuries, male, female, acute kidney injury, middle aged
This document is indexed with metadata only — full text is not available in the archive for this record.
Open the official source ↗Related documents
Record · ID 9701
Conceptio Open Knowledge Archive — every document is proof-bundled with source, license, and retrieval metadata.