1. Machine learning predicts all-cause mortality in patients with severe aortic regurgitation. (4th February 2022) Authors: Anand, V; Hu, H; Weston, AD; Scott, CG; Michelena, HI; Pislaru, SV; Carter, RE; Pellikka, PA Journal: European heart journal Issue: Volume 23(2022)Supplement 1 Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. The five phenotypes of tricuspid regurgitation: insight from cluster analysis of clinical and echocardiographic variables. (4th February 2022) Authors: Anand, V; Hyun, MC; Lara-Breitinger, K; Scott, CG; Nkomo, VT; Pislaru, C; Kane, GC; Schulte, PJ; Pislaru, SV Journal: European heart journal Issue: Volume 23(2022)Supplement 1 Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗