A Machine Learning–Based Prediction Model for Acute Kidney Injury in Patients With Community-Acquired Pneumonia: Multicenter Validation Study
BackgroundAcute kidney injury (AKI) is common in patients with community-acquired pneumonia (CAP) and is associated with increased morbidity and mortality. ObjectiveThis study aimed to establish and validate predictive models for AKI in hospitalized patients with...
Saved in:
| Main Authors: | Mengqing Ma, Caimei Chen, Dawei Chen, Hao Zhang, Xia Du, Qing Sun, Li Fan, Huiping Kong, Xueting Chen, Changchun Cao, Xin Wan |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
JMIR Publications
2024-12-01
|
| Series: | Journal of Medical Internet Research |
| Online Access: | https://www.jmir.org/2024/1/e51255 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Serum Cystatin C within 24 hours after admission: a potential predictor for acute kidney injury in Chinese patients with community acquired pneumonia
by: Dawei Chen, et al.
Published: (2023-12-01) -
Development and external validation of a nomogram for the early prediction of acute kidney injury in septic patients: a multicenter retrospective clinical study
by: Qin-Yue Su, et al.
Published: (2024-12-01) -
Analysis of risk factors and prognosis of viral pneumonia-related acute kidney injury
by: Yuan Hong-bo, et al.
Published: (2022-01-01) -
Usefulness of Lung Ultrasound in the Diagnosis of Community-acquired Pneumonia in Children
by: Meng-Chieh Ho, et al.
Published: (2015-02-01) -
Validation of Drug Resistance in Pneumonia (DRIP) Score as Empirical Antibiotic Failure Predictor in Community-Acquired Pneumonia Patients in Cipto Mangunkusumo Hospital
by: Rohayat Bilmahdi Simanjuntak, et al.
Published: (2024-04-01)