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AI醫療技術、應用與市場動態

【高山症】基於低海拔地區測量的運動負荷生理指標,利用機器學習預測「急性高山症」風險

 【高山症】基於低海拔地區測量的運動負荷生理指標,利用機器學習預測「急性高山症」風險


 文章出處  

Frontiers in Public Health 

 

 原文標題  

Physiological Markers of Low-Altitude Exercise Load for Predicting Acute Mountain Sickness: Development of an Interpretable Machine Learning Model and Research Web Calculator 

 

 文章序號  

13220 

 

智醫科學-AI醫療技術、應用與市場動態

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