Use of novel structural features to identify urinary biomarkers during acute kidney injury that predict progression to chronic kidney disease
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource, 1 online resource.
- Sprache
-
Englisch
- Erschienen in
-
Use of novel structural features to identify urinary biomarkers during acute kidney injury that predict progression to chronic kidney disease ; volume:24 ; number:1 ; day:19 ; month:6 ; year:2023 ; pages:1-13 ; date:12.2023
BMC nephrology ; 24, Heft 1 (19.6.2023), 1-13, 12.2023
- Urheber
-
Charlton, Jennifer R.
Li, Teng
Wu, Teresa
deRonde, Kimberly
Xu, Yanzhe
Baldelomar, Edwin J.
Bennett, Kevin M.
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s12882-023-03196-0
- URN
-
urn:nbn:de:101:1-2023092208335077654554
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:58 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Charlton, Jennifer R.
- Li, Teng
- Wu, Teresa
- deRonde, Kimberly
- Xu, Yanzhe
- Baldelomar, Edwin J.
- Bennett, Kevin M.
- SpringerLink (Online service)
Ähnliche Objekte (12)
Acute kidney injury secondary to urinary tract infection in kidney transplant recipients
Urinary biomarkers predict advanced acute kidney injury after cardiovascular surgery
Machine learning models to predict end-stage kidney disease in chronic kidney disease stage 4
Urinary N-acetyl-D-glucosaminidase can predict bleeding after a percutaneous kidney biopsy
Urinary Biomarkers TIMP-2 and IGFBP7 Early Predict Acute Kidney Injury after Major Surgery
Development and validation of a risk index to predict kidney graft survival: the kidney transplant risk index
New urinary biomarkers for diabetic kidney disease
Urinary extracellular vesicles in childhood kidney diseases
Investigation on explainable machine learning models to predict chronic kidney diseases
Assessment of urinary kidney injury molecule-1 and interleukin-18 in the early post-burn period to predict acute kidney injury for various degrees of burn injury
Tongue trail to kidney
Quantification of urinary TIMP-2 and IGFBP-7: an adequate diagnostic test to predict acute kidney injury after cardiac surgery?
Acute kidney injury secondary to urinary tract infection in kidney transplant recipients
Urinary biomarkers predict advanced acute kidney injury after cardiovascular surgery
Machine learning models to predict end-stage kidney disease in chronic kidney disease stage 4
Urinary N-acetyl-D-glucosaminidase can predict bleeding after a percutaneous kidney biopsy
Urinary Biomarkers TIMP-2 and IGFBP7 Early Predict Acute Kidney Injury after Major Surgery
Development and validation of a risk index to predict kidney graft survival: the kidney transplant risk index
New urinary biomarkers for diabetic kidney disease
Urinary extracellular vesicles in childhood kidney diseases
Investigation on explainable machine learning models to predict chronic kidney diseases
Assessment of urinary kidney injury molecule-1 and interleukin-18 in the early post-burn period to predict acute kidney injury for various degrees of burn injury
Tongue trail to kidney
Quantification of urinary TIMP-2 and IGFBP-7: an adequate diagnostic test to predict acute kidney injury after cardiac surgery?
Acute kidney injury secondary to urinary tract infection in kidney transplant recipients
Urinary biomarkers predict advanced acute kidney injury after cardiovascular surgery
Machine learning models to predict end-stage kidney disease in chronic kidney disease stage 4
Urinary N-acetyl-D-glucosaminidase can predict bleeding after a percutaneous kidney biopsy
Urinary Biomarkers TIMP-2 and IGFBP7 Early Predict Acute Kidney Injury after Major Surgery
Development and validation of a risk index to predict kidney graft survival: the kidney transplant risk index
New urinary biomarkers for diabetic kidney disease
Urinary extracellular vesicles in childhood kidney diseases
Investigation on explainable machine learning models to predict chronic kidney diseases
Assessment of urinary kidney injury molecule-1 and interleukin-18 in the early post-burn period to predict acute kidney injury for various degrees of burn injury
Tongue trail to kidney