A Machine Learning Challenge: Detection of Cardiac Amyloidosis Based on Bi-Atrial and Right Ventricular Strain and Cardiac Function.

Jan Eckstein,Negin Moghadasi,Hermann Körperich,Elena Weise Valdés,Vanessa Sciacca,Lech Paluszkiewicz,Wolfgang Burchert,Misagh Piran

Diagnostics (Basel, Switzerland)（2022）

引用 7|浏览3

暂无评分

摘要

SVM RBF kernel achieved competitive diagnostic accuracies under supervised conditions. Machine learning of multi-chamber cardiac strain and function may offer novel perspectives for non-contrast clinical decision-support systems in CA diagnostics.

查看译文

关键词

artificial intelligence,cardiac amyloidosis,cardiac strain,cardiovascular magnetic resonance,support vector machine

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要