Detalles de la búsqueda
1.
Differences between kidney retransplant recipients as identified by machine learning consensus clustering.
Clin Transplant
; 37(5): e14943, 2023 05.
Artículo
en Inglés
| MEDLINE | ID: mdl-36799718
2.
Quantifying Individual-Level Inaccuracy in Glomerular Filtration Rate Estimation : A Cross-Sectional Study.
Ann Intern Med
; 175(8): 1073-1082, 2022 08.
Artículo
en Inglés
| MEDLINE | ID: mdl-35785532
3.
Differences between Very Highly Sensitized Kidney Transplant Recipients as Identified by Machine Learning Consensus Clustering.
Medicina (Kaunas)
; 59(5)2023 May 18.
Artículo
en Inglés
| MEDLINE | ID: mdl-37241209
4.
Clinical Phenotypes of Dual Kidney Transplant Recipients in the United States as Identified through Machine Learning Consensus Clustering.
Medicina (Kaunas)
; 58(12)2022 Dec 12.
Artículo
en Inglés
| MEDLINE | ID: mdl-36557033
5.
Risk Factors and Management of Osteoporosis Post-Transplant.
Medicina (Kaunas)
; 56(6)2020 Jun 19.
Artículo
en Inglés
| MEDLINE | ID: mdl-32575603
6.
Donor-transmitted cystinuria in a renal transplant recipient.
J Nephrol
; 2024 Mar 21.
Artículo
en Inglés
| MEDLINE | ID: mdl-38512367
7.
Sodium-glucose Co-transporter-2 Inhibitors Causing Candida tropicalis Fungemia and Renal Abscess.
JCEM Case Rep
; 2(2): luae010, 2024 Feb.
Artículo
en Inglés
| MEDLINE | ID: mdl-38304006
8.
Evaluating Global and Temporal Trends in Pancreas and Islet Cell Transplantation: Public Awareness and Engagement.
Clin Pract
; 14(2): 590-601, 2024 Mar 29.
Artículo
en Inglés
| MEDLINE | ID: mdl-38666804
9.
Distinct Phenotypes of Non-Citizen Kidney Transplant Recipients in the United States by Machine Learning Consensus Clustering.
Medicines (Basel)
; 10(4)2023 Mar 27.
Artículo
en Inglés
| MEDLINE | ID: mdl-37103780
10.
Characteristics of Kidney Transplant Recipients with Prolonged Pre-Transplant Dialysis Duration as Identified by Machine Learning Consensus Clustering: Pathway to Personalized Care.
J Pers Med
; 13(8)2023 Aug 19.
Artículo
en Inglés
| MEDLINE | ID: mdl-37623523
11.
Machine Learning Consensus Clustering of Morbidly Obese Kidney Transplant Recipients in the United States.
J Clin Med
; 11(12)2022 Jun 08.
Artículo
en Inglés
| MEDLINE | ID: mdl-35743357
12.
Distinct Phenotypes of Kidney Transplant Recipients in the United States with Limited Functional Status as Identified through Machine Learning Consensus Clustering.
J Pers Med
; 12(6)2022 May 25.
Artículo
en Inglés
| MEDLINE | ID: mdl-35743647
13.
Characteristics of Kidney Recipients of High Kidney Donor Profile Index Kidneys as Identified by Machine Learning Consensus Clustering.
J Pers Med
; 12(12)2022 Dec 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-36556213
14.
Use of Machine Learning Consensus Clustering to Identify Distinct Subtypes of Black Kidney Transplant Recipients and Associated Outcomes.
JAMA Surg
; 157(7): e221286, 2022 07 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-35507356
15.
Observational Study of the Clinical Characteristics and Short-Term Outcomes of Kidney Transplant Recipients Diagnosed With COVID-19 Infection (SARS-CoV-2) Requiring Hospitalization in New Orleans.
Ochsner J
; 21(4): 329-334, 2021.
Artículo
en Inglés
| MEDLINE | ID: mdl-34984045
16.
Incidence and Characteristics of Kidney Stones in Patients on Ketogenic Diet: A Systematic Review and Meta-Analysis.
Diseases
; 9(2)2021 May 25.
Artículo
en Inglés
| MEDLINE | ID: mdl-34070285
17.
Use and outcomes of kidneys from donors with renal angiomyolipoma: A systematic review.
Urol Ann
; 13(1): 67-72, 2021.
Artículo
en Inglés
| MEDLINE | ID: mdl-33897168
18.
Rituximab or plasmapheresis for prevention of recurrent focal segmental glomerulosclerosis after kidney transplantation: A systematic review and meta-analysis.
World J Transplant
; 11(7): 303-319, 2021 Jul 18.
Artículo
en Inglés
| MEDLINE | ID: mdl-34316454
19.
Outcomes of Kidney Transplant Recipients with Sickle Cell Disease: An Analysis of the 2000-2019 UNOS/OPTN Database.
J Clin Med
; 10(14)2021 Jul 11.
Artículo
en Inglés
| MEDLINE | ID: mdl-34300230
20.
Clinically Distinct Subtypes of Acute Kidney Injury on Hospital Admission Identified by Machine Learning Consensus Clustering.
Med Sci (Basel)
; 9(4)2021 09 24.
Artículo
en Inglés
| MEDLINE | ID: mdl-34698185