[引用][C] Original Investigation Multiview Clustering to Identify Novel Kidney Donor Phenotypes for Assessing Graft Survival in Older Transplant Recipients
Background Older transplant recipients are at a relatively increased risk of graft failure after
transplantation, and some of this risk may relate to donor characteristics. Unsupervised …
transplantation, and some of this risk may relate to donor characteristics. Unsupervised …
Multiview Clustering to Identify Novel Kidney Donor Phenotypes for Assessing Graft Survival in Older Transplant Recipients
Background Older transplant recipients are at a relatively increased risk of graft failure after
transplantation, and some of this risk may relate to donor characteristics. Unsupervised …
transplantation, and some of this risk may relate to donor characteristics. Unsupervised …
Distinct Phenotypes of Non-Citizen Kidney Transplant Recipients in the United States by Machine Learning Consensus Clustering
C Thongprayoon, P Vaitla, CC Jadlowiec, N Leeaphorn… - Medicines, 2023 - mdpi.com
Background: Better understanding of the different phenotypes/subgroups of non-US citizen
kidney transplant recipients may help the transplant community to identify strategies that …
kidney transplant recipients may help the transplant community to identify strategies that …
Differences between kidney retransplant recipients as identified by machine learning consensus clustering
C Thongprayoon, P Vaitla, CC Jadlowiec… - Clinical …, 2023 - Wiley Online Library
Background Our study aimed to characterize kidney retransplant recipients using an
unsupervised machine‐learning approach. Methods We performed consensus cluster …
unsupervised machine‐learning approach. Methods We performed consensus cluster …
Use of machine learning consensus clustering to identify distinct subtypes of black kidney transplant recipients and associated outcomes
C Thongprayoon, P Vaitla, CC Jadlowiec… - JAMA …, 2022 - jamanetwork.com
Importance Among kidney transplant recipients, Black patients continue to have worse graft
function and reduced patient and graft survival. Better understanding of different phenotypes …
function and reduced patient and graft survival. Better understanding of different phenotypes …
[HTML][HTML] Distinct phenotypes of kidney transplant recipients aged 80 years or older in the USA by machine learning consensus clustering
C Thongprayoon, CC Jadlowiec, SA Mao… - BMJ Surgery …, 2023 - ncbi.nlm.nih.gov
Distinct phenotypes of kidney transplant recipients aged 80 years or older in the USA by
machine learning consensus clustering - PMC Back to Top Skip to main content NIH NLM Logo …
machine learning consensus clustering - PMC Back to Top Skip to main content NIH NLM Logo …
Impact of deceased-donor characteristics on early graft function: Outcome of kidney donor pairs accepted for transplantation
CF Mahler, F Friedl, C Nusshag, C Speer… - Frontiers in … - frontiersin.org
The impact of deceased donor characteristics on kidney transplant outcomes is
controversial. Correspondingly, the predictive performance of deceased donor scores …
controversial. Correspondingly, the predictive performance of deceased donor scores …
Distinct phenotypes of kidney transplant recipients in the United States with limited functional status as identified through machine learning consensus clustering
C Thongprayoon, CC Jadlowiec, W Kaewput… - Journal of Personalized …, 2022 - mdpi.com
Background: There have been concerns regarding increased perioperative mortality, length
of hospital stay, and rates of graft loss in kidney transplant recipients with functional …
of hospital stay, and rates of graft loss in kidney transplant recipients with functional …
[HTML][HTML] Use of machine learning consensus clustering to identify distinct subtypes of kidney transplant recipients with DGF and associated outcomes
CC Jadlowiec, C Thongprayoon… - Transplant …, 2022 - frontierspartnerships.org
Data and transplant community opinion on delayed graft function (DGF), and its impact on
outcomes, remains varied. An unsupervised machine learning consensus clustering …
outcomes, remains varied. An unsupervised machine learning consensus clustering …
Clinical Phenotypes of Dual Kidney Transplant Recipients in the United States as Identified through Machine Learning Consensus Clustering
S Tangpanithandee, C Thongprayoon, CC Jadlowiec… - Medicina, 2022 - mdpi.com
Background and Objectives: Our study aimed to cluster dual kidney transplant recipients
using an unsupervised machine learning approach to characterize donors and recipients …
using an unsupervised machine learning approach to characterize donors and recipients …