Supporting datasets (iid and ood) used in the evaluation experiments of the paper "Why did AI get this one wrong? - tree-based explanations of machine learning model predictions" by Parimbelli, Buonoc

NIAID Data Ecosystem70

AUC of parameters of albuminuria measured to predict a decline of eGFR ≥ 40%.

脏器疾病预测

生物标志物分析

AUC of parameters of albuminuria measured to predict a decline of eGFR ≥ 40%.

NIAID Data Ecosystem50

RIP sequencing in L02 cells. RIP sequencing in L02 cells

RNA测序

脏器疾病预测

RIP-SEQ was performed in L02 cells Overall design: We report the application of sequencing technology for high-throughput profiling of mRNA expressions in L02 cells.L02 cells were lysed and then incub

NIAID Data Ecosystem80

Data for Kidney Failure Risk Equation, Major et al PLOS Medicine 2019

脏器疾病预测

初级卫生保健

Data used to perform analysis for manuscript "The Kidney Failure Risk Equation for prediction of end stage renal disease in UK primary care: an external validation and clinical impact projection cohor

DataCite Commons2025-06-01 更新70