【AKI】利用機器學習預測ICU心臟外科手術患者的早期「急性腎損傷」和意識改變(GCS)風險

 【AKI】利用機器學習預測ICU心臟外科手術患者的早期「急性腎損傷」和意識改變(GCS)風險

 文章出處  

Frontiers in Endocrinology 

 

 原文標題  

Development and validation of an interpretable machine learning model for predicting early acute kidney injury and altered consciousness in cardiac surgery patients admitted to the intensive care unit: a retrospective study 

 

 文章序號  

12956 

 

智醫科學－AI醫療技術、應用與市場動態

Copyright ©2026 智醫科學 MEDai.tw All rights reserved.

The content of this site is intended for healthcare and medical professionals.