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Editor's Choice: Challenges of Predicting Arteriovenous Access Survival Prior to Conversion from Catheter by Hofmann et al.
This paper explores whether machine learning techniques can improve the prediction of arteriovenous access survival and avoid failures in patients transitioning from central venous catheters to arteriovenous fistulas or grafts. It was published as an Editor’s choice paper in EJVES November 2024.
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Editor's Choice – Challenges of Predicting Arteriovenous Access Survival Prior to Conversion from Catheter
Hofmann, Amun G et al.
European Journal of Vascular and Endovascular Surgery, Volume 68, Issue 5, 654 - 662, November 2024
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