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在严重的大动脉狭窄症患者中选择大动脉置换方式的基于机器学习的预测模型

Ronpichai Chokesuwattanaskul1,2, Aisawan Petchlorlian3,4, Piyoros Lertsanguansinchai1,2

  • 1Division of Cardiovascular Medicine, Department of Medicine, Faculty of Medicine, Center of Excellence in Arrhythmia Research, Chulalongkorn University, Bangkok 10330, Thailand.

Medical sciences (Basel, Switzerland)
|January 22, 2024
PubMed
概括

机器学习准确地预测了手术性大动脉置换 (SAVR) 与大动脉狭窄的跨导管大动脉置换 (TAVR). 虚弱度得分是关键预测因素,使得这些重要心脏门手术的患者可以更好地选择.

关键词:
拉索·拉索 (Lasso) 是一个这就是SAVR的原因.在TAVRR中,我们可以看到.大动脉门更换术决策树是一个决策树.

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Aortic regurgitation (AR) is when the aortic valve does not close or seal properly, leading to backward blood circulation from the aorta into the left ventricle during diastole. Common causes of AR include rheumatic heart disease, congenital valve defects, and aortic root dilation. Managing AR requires a multifaceted approach to alleviate symptoms, preserve left ventricular function, and address the underlying cause of the regurgitation. Patients with symptomatic AR or significant left...