 | Up a level |
Leha, Andreas; Huber, Cynthia; Friede, Tim; Bauer, Timm; Beckmann, Andreas; Bekeredjian, Raffi; Bleiziffer, Sabine; Herrmann, Eva; Möllmann, Helge; Walther, Thomas; Beyersdorf, Friedhelm; Hamm, Christian; Künzi, Arnaud; Windecker, Stephan; Stortecky, Stefan; Kutschka, Ingo; Hasenfuß, Gerd; Ensminger, Stephan; Frerker, Christian and Seidler, Tim (2024). Challenges in developing and validating machine learning models for TAVI mortality risk prediction: reply. European heart journal. Digital health, 5(1), pp. 3-5. Oxford University Press 10.1093/ehjdh/ztad065
Gehlen, Jan; Stundl, Anja; Debiec, Radoslaw; Fontana, Federica; Krane, Markus; Sharipova, Dinara; Nelson, Christopher P; Al-Kassou, Baravan; Giel, Ann-Sophie; Sinning, Jan-Malte; Bruenger, Christopher M H; Zelck, Carolin F; Koebbe, Laura L; Braund, Peter S; Webb, Thomas R; Hetherington, Simon; Ensminger, Stephan; Fujita, Buntaro; Mohamed, Salah A; Shrestha, Malakh; ... (2023). Elucidation of the genetic causes of bicuspid aortic valve disease. Cardiovascular research, 119(3), pp. 857-866. Oxford University Press 10.1093/cvr/cvac099
Leha, Andreas; Huber, Cynthia; Friede, Tim; Bauer, Timm; Beckmann, Andreas; Bekeredjian, Raffi; Bleiziffer, Sabine; Herrmann, Eva; Möllmann, Helge; Walther, Thomas; Beyersdorf, Friedhelm; Hamm, Christian; Künzi, Arnaud; Windecker, Stephan; Stortecky, Stefan; Kutschka, Ingo; Hasenfuß, Gerd; Ensminger, Stephan; Frerker, Christian and Seidler, Tim (2023). Development and validation of explainable machine learning models for risk of mortality in transcatheter aortic valve implantation: TAVI risk machine scores. European heart journal. Digital health, 4(3), pp. 225-235. Oxford University Press 10.1093/ehjdh/ztad021
