Predicting long-term mortality of patients with postoperative acute kidney injury following noncardiac general anesthesia surgery using machine learning.
使用機器學習預測接受非心臟全身麻醉手術後出現術後急性腎損傷患者的長期死亡率。
Kidney Res Clin Pract 2024-10-09
Machine learning algorithm for predict the in-hospital mortality in critically ill patients with congestive heart failure combined with chronic kidney disease.
機器學習演算法用於預測合併慢性腎臟病的充血性心臟衰竭危重病患的住院死亡率。
Ren Fail 2024-02-22
Using artificial intelligence to predict mortality in AKI patients: a systematic review/meta-analysis.
利用人工智慧預測 AKI 患者死亡率:系統性回顧與荟萃分析。
Clin Kidney J 2024-06-21
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
Predictive models of sepsis-associated acute kidney injury based on machine learning: a scoping review.
基於機器學習的敗血症相關急性腎損傷預測模型:範疇回顧。
Ren Fail 2024-07-31
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
Risk prediction for acute kidney disease and adverse outcomes in patients with chronic obstructive pulmonary disease: an interpretable machine learning approach.
慢性阻塞性肺病患者急性腎病及不良結果的風險預測:一種可解釋的機器學習方法。
Ren Fail 2025-04-08