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Your search keyword '"Rodriguez-Adrada, Esther"' showing total 4 results
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4 results on '"Rodriguez-Adrada, Esther"'

1. External validation of the myocardial-ischaemic-injury-index machine learning algorithm for the early diagnosis of myocardial infarction: a multicentre cohort study

Author

Reichlin, Tobias, Kaeslin, Marina, Potlukova, Eliska, Kawecki, Damian, Geigy, Nicolas, Rentsch, Katharina, Shrestha, Samyut, Guzman-Tacla, Caroline A., Herraiz-Recuenco, Lourdes, Morawiec, Beata, Munzk, Piotr, Freese, Michael, Martinez-Nadal, Gemma, Fuenzalida, Carolina, Calderon, Sofia, Rodriguez Adrada, Esther, Ganovská, Eva, Parenica, Jiri, von Eckardstein, Arnold, Campodarve, Isabel, Gea, Joachim, Lopez-Ayala, Pedro, Boeddinghaus, Jasper, Nestelberger, Thomas, Koechlin, Luca, Zimmermann, Tobias, Bima, Paolo, Glaeser, Jonas, Spagnuolo, Carlos C, Champetier, Arnaud, Miro, Oscar, Martin-Sanchez, Francisco Javier, Keller, Dagmar I, Christ, Michael, Wildi, Karin, Breidthardt, Tobias, Strebel, Ivo, and Mueller, Christian

Published
2024
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2. Effect of Flu Vaccination on Severity and Outcome of Heart Failure Decompensations

Author

Miró, ÒSCAR, IVARS, NICOLE, LOPEZ-AYALA, PEDRO, GIL, VÍCTOR, LLAUGER, LLUÍS, ALQUÉZAR-ARBÉ, AITOR, JACOB, JAVIER, RODRÍGUEZ-ADRADA, ESTHER, TOST, JOSEP, MIR, MARÍA, GIL, CRISTINA, SÁNCHEZ, SUSANA, AGUIRRE, ALFONS, MARTÍN, ENRIQUE, ALONSO, M. ISABEL, GARRIDO, JOSÉ MANUEL, LÓPEZ-GRIMA, M. LUISA, LUCAS-IMBERNON, FRANCISCO JAVIER, SÁNCHEZ, CAROLINA, ESCODA, ROSA, GIL, ADRIANA, ESPINOSA, BEGOÑA, WUSSLER, DESIREE, PEACOCK, W. FRANK, MUELLER, CHRISTIAN, and LLORENS, PERE

Published
2023
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3. External validation of the myocardial-ischaemic-injury-index machine learning algorithm for the early diagnosis of myocardial infarction: a multicentre cohort study

Author

Lopez-Ayala, Pedro, Boeddinghaus, Jasper, Nestelberger, Thomas, Koechlin, Luca, Zimmermann, Tobias, Bima, Paolo, Glaeser, Jonas, Spagnuolo, Carlos C, Champetier, Arnaud, Miro, Oscar, Martin-Sanchez, Francisco Javier, Keller, Dagmar I, Christ, Michael, Wildi, Karin, Breidthardt, Tobias, Strebel, Ivo, Mueller, Christian, Reichlin, Tobias, Kaeslin, Marina, Potlukova, Eliska, Kawecki, Damian, Geigy, Nicolas, Rentsch, Katharina, Shrestha, Samyut, Guzman-Tacla, Caroline A., Herraiz-Recuenco, Lourdes, Morawiec, Beata, Munzk, Piotr, Freese, Michael, Martinez-Nadal, Gemma, Fuenzalida, Carolina, Calderon, Sofia, Rodriguez Adrada, Esther, Ganovská, Eva, Parenica, Jiri, von Eckardstein, Arnold, Campodarve, Isabel, and Gea, Joachim

Abstract

The myocardial-ischaemic-injury-index (MI3) is a novel machine learning algorithm for the early diagnosis of type 1 non-ST-segment elevation myocardial infarction (NSTEMI). The performance of MI3, both when using early serial blood draws (eg, at 1 h or 2 h) and in direct comparison with guideline-recommended algorithms, remains unknown. Our aim was to externally validate MI3and compare its performance with that of the European Society of Cardiology (ESC) 0/1h-algorithm.

Published
2024
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