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【闌尾炎】利用可解釋機器學習降低兒科「陰性急性闌尾炎」切除術數量

 【闌尾炎】利用可解釋機器學習降低兒科「陰性急性闌尾炎」切除術數量


 文章出處  

Scientific Reports 

 

 原文標題  

Applying an explainable machine learning model might reduce the number of negative appendectomies in pediatric patients with a high probability of acute appendicitis 

 

 文章序號  

5719 

 

智醫科學-AI醫療技術、應用與市場動

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