Conventional machine learning-based prediction models did not outperform the International IgA Nephropathy Prediction Tool.
傳統機器學習預測模型未能超越國際 IgA 腎病預測工具。
Kidney Res Clin Pract 2024-10-09
Development and external validation of a multidimensional deep learning model to dynamically predict kidney outcomes in IgA nephropathy.
IgA腎病多維深度學習模型動態預測腎臟結果的開發和外部驗證
Clin J Am Soc Nephrol 2024-05-10
A machine learning-based approach for predicting renal function recovery in general ward patients with acute kidney injury.
一種基於機器學習的方法,用於預測一般病房急性腎損傷患者的腎功能恢復。
Kidney Res Clin Pract 2024-06-27
Establishing a differential diagnosis model between primary membranous nephropathy and non-primary membranous nephropathy by machine learning algorithms.
利用機器學習演算法建立原發性膜性腎病與非原發性膜性腎病之間的鑑別診斷模型。
Ren Fail 2024-07-23
Application of the updated International IgA Nephropathy Prediction Tool in children one- or two-years post-biopsy.
更新版國際 IgA 腎病預測工具在兒童活檢後一至兩年的應用。
Kidney Int 2024-08-02
Using prediction models to improve care and communicate risk: updated modeling for children with IgA nephropathy.
使用預測模型改善護理和風險溝通:針對 IgA nephropathy 兒童的更新模型。
Kidney Int 2024-10-20
Development and Validation of a Machine Learning-Based Prognostic Model for IgA Nephropathy with Chronic Kidney Disease Stage 3 or 4.
基於機器學習的IgA腎病慢性腎病第3或第4期預後模型的開發與驗證。
Kidney Dis (Basel) 2024-12-12
Systematic Review and Meta-Analysis of Machine Learning Models for Acute Kidney Injury Risk Classification.
急性腎損傷風險分類的機器學習模型系統性回顧與統合分析。
J Am Soc Nephrol 2025-03-28