Disaster preparation in kidney transplant recipients: a questionnaire-based cohort study from a large United States transplant center. Clin. Nephrol. 89, 241–248 (2018). PubMed Google Scholar Murakami, N., Siktel, H. B., Lucido, D., Winchester, J. F. & Harbord, N. B. Disaster ...
1). Subjects who required kidney transplant or dialysis were defined as having reached ESRD. To define CKD in subjects with a native kidney function, we used (1) the most recent eGFR, (2) the eGFR measured at least 3 months before the most recent eGFR, (3) CKD and relevant kidney ...
Notably, CRP exerted a significant influence on the models, as revealed by SHAP and feature importance rankings. Conclusions: Machine learning algorithms offer a viable approach for constructing prognostic models to predict the development of severe disease following PCP in kidney...
Important outcomes for kidney transplant recipients: a nominal group and qualitative study. Am J Kidney Dis. 2012;60(2):186–96. Article PubMed Google Scholar Urquhart-Secord R, Craig JC, Hemmelgarn B, Tam-Tham H, Manns B, Howell M, Polkinghorne KR, Kerr PG, Harris DC, Thompson S, ...
Scott M. Williams 0 1 0 Division of Cardiovascular Medicine, Center for Human Genetics Research, Vanderbilt University , Nashville, TN 37232, USA 1 PhD, FA... SM Williams - Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European ...
We create cell GRN networks from injured PT single nuclei data, with the mouse mm10 genome for cis-regulatory analysis and the gene-motif rankings 10 kilobases around the transcription start site (TSS). AUCell values of the regulons from the SCENIC output file were used for differential test ...
“commonality across sites”;x-axis measures the median of variable importance rankings measured as “soft ranking” (the closer it is to 1, the higher the feature ranks), which is also color coded by the interquartile range (IQR) of the ranks across sites (the higher the IQR is, the ...
Understanding these variables in our study using a national database will help each transplant center to develop their individualized RF model, prognosticate the risk of rejection among Black kidney transplant recipients, and develop strategies to prevent these serious events. In addition to the ...
Artificial Intelligence Development Center, Fu Jen Catholic University, New Taipei City 242062, Taiwan 4 Department of Business Administration, Tamkang University, New Taipei City 251301, Taiwan 5 Department of Medical Research, Department of Medicine, Far Eastern Memorial Hospital, New Taipei City 22056...
Because SemNet 2.0 is an unsupervised model, there is no ground truth set of rankings by which to explicitly compare them. Domain knowledge provides an important layer of validation. The results of SemNet 2.0 studies have been successfully evaluated in COVID-19 [34,36], Parkinson’s disease ...