Machine-learning based prediction of in-hospital death for patients with takotsubo syndrome: the InterTAK-ML model.

Ovidio De Filippo,Victoria L Cammann,Corrado Pancotti,Davide Di Vece,Angelo Silverio,Victor Schweiger,David Niederseer,Konrad A Szawan,Michael Würdinger,Iva Koleva,Veronica Dusi,Michele Bellino,Carmine Vecchione,Guido Parodi,Eduardo Bossone,Sebastiano Gili,Michael Neuhaus,Jennifer Franke,Benjamin Meder,Miłosz Jaguszewski,Michel Noutsias,Maike Knorr,Thomas Jansen,Wolfgang Dichtl,Dirk von Lewinski,Christof Burgdorf,Behrouz Kherad,Carsten Tschöpe,Annahita Sarcon,Jerold Shinbane,Lawrence Rajan,Guido Michels,Roman Pfister,Alessandro Cuneo,Claudius Jacobshagen,Mahir Karakas,Wolfgang Koenig,Alexander Pott,Philippe Meyer,Marco Roffi,Adrian Banning,Mathias Wolfrum,Florim Cuculi,Richard Kobza,Thomas A Fischer,Tuija Vasankari,K E Juhani Airaksinen,L Christian Napp,Rafal Dworakowski,Philip MacCarthy,Christoph Kaiser,Stefan Osswald,Leonarda Galiuto,Christina Chan,Paul Bridgman,Daniel Beug,Clément Delmas,Olivier Lairez,Ekaterina Gilyarova,Alexandra Shilova,Mikhail Gilyarov,Ibrahim El-Battrawy,Ibrahim Akin,Karolina Poledniková,Petr Toušek,David E Winchester,Michael Massoomi,Jan Galuszka,Christian Ukena,Gregor Poglajen,Pedro Carrilho-Ferreira,Christian Hauck,Carla Paolini,Claudio Bilato,Yoshio Kobayashi,Ken Kato,Iwao Ishibashi,Toshiharu Himi,Jehangir Din,Ali Al-Shammari,Abhiram Prasad,Charanjit S Rihal,Kan Liu,P Christian Schulze,Matteo Bianco,Lucas Jörg,Hans Rickli,Gonçalo Pestana,Thanh H Nguyen,Michael Böhm,Lars S Maier,Fausto J Pinto,Petr Widimský,Stephan B Felix,Ruediger C Braun-Dullaeus,Wolfgang Rottbauer,Gerd Hasenfuß,Burkert M Pieske,Heribert Schunkert,Monika Budnik,Grzegorz Opolski,Holger Thiele,Johann Bauersachs,John D Horowitz,Carlo Di Mario,Francesco Bruno,William Kong,Mayank Dalakoti,Yoichi Imori,Thomas Münzel,Filippo Crea,Thomas F Lüscher,Jeroen J Bax,Frank Ruschitzka,Gaetano Maria de Ferrari,Piero Fariselli,Jelena R Ghadri,Rodolfo Citro,Fabrizio D'Ascenzo,Christian Templin

European journal of heart failure（2023）

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摘要

A ML-based approach for the identification of TTS patients at risk of adverse short-term prognosis is feasible and effective. The InterTAK-ML model showed unprecedented discriminative capability for the prediction of in-hospital death. This article is protected by copyright. All rights reserved.

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