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

De Filippo O, Cammann VL, Pancotti C, Di Vece D, Silverio A, Schweiger V, Niederseer D, Szawan KA, Würdinger M, Koleva I, Dusi V, Bellino M, Vecchione C, Parodi G, Bossone E, Gili S, Neuhaus M, Franke J, Meder B, Jaguszewski M, Noutsias M, Knorr M, Jansen T, Dichtl W, von Lewinski D, Burgdorf C, Kherad B, Tschöpe C, Sarcon A, Shinbane J, Rajan L, Michels G, Pfister R, Cuneo A, Jacobshagen C, Karakas M, Koenig W, Pott A, Meyer P, Roffi M, Banning A, Wolfrum M, Cuculi F, Kobza R, Fischer TA, Vasankari T, Airaksinen KEJ, Napp LC, Dworakowski R, MacCarthy P, Kaiser C, Osswald S, Galiuto L, Chan C, Bridgman P, Beug D, Delmas C, Lairez O, Gilyarova E, Shilova A, Gilyarov M, El-Battrawy I, Akin I, Poledniková K, Toušek P, Winchester DE, Massoomi M, Galuszka J, Ukena C, Poglajen G, Carrilho-Ferreira P, Hauck C, Paolini C, Bilato C, Kobayashi Y, Kato K, Ishibashi I, Himi T, Din J, Al-Shammari A, Prasad A, Rihal CS, Liu K, Schulze PC, Bianco M, Jörg L, Rickli H, Pestana G, Nguyen TH, Böhm M, Maier LS, Pinto FJ, Widimský P, Felix SB, Braun-Dullaeus RC, Rottbauer W, Hasenfuß G, Pieske BM, Schunkert H, Budnik M, Opolski G, Thiele H, Bauersachs J, Horowitz JD, Di Mario C, Bruno F, Kong W, Dalakoti M, Imori Y, Münzel T, Crea F, Lüscher TF, Bax JJ, Ruschitzka F, De Ferrari GM, Fariselli P, Ghadri JR, Citro R, D'Ascenzo F, Templin C.

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DOI: 10.1002/ejhf.2983
Published: 2023-09-18
Container: Eur J Heart Fail
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1002/ejhf.2983,
  title = {Machine learning-based prediction of in-hospital death for patients with takotsubo syndrome: The InterTAK-ML model.},
  author = {De Filippo O and  Cammann VL and  Pancotti C and  Di Vece D and  Silverio A and  Schweiger V and  Niederseer D and  Szawan KA and  Würdinger M and  Koleva I and  Dusi V and  Bellino M and  Vecchione C and  Parodi G and  Bossone E and  Gili S and  Neuhaus M and  Franke J and  Meder B and  Jaguszewski M and  Noutsias M and  Knorr M and  Jansen T and  Dichtl W and  von Lewinski D and  Burgdorf C and  Kherad B and  Tschöpe C and  Sarcon A and  Shinbane J and  Rajan L and  Michels G and  Pfister R and  Cuneo A and  Jacobshagen C and  Karakas M and  Koenig W and  Pott A and  Meyer P and  Roffi M and  Banning A and  Wolfrum M and  Cuculi F and  Kobza R and  Fischer TA and  Vasankari T and  Airaksinen KEJ and  Napp LC and  Dworakowski R and  MacCarthy P and  Kaiser C and  Osswald S and  Galiuto L and  Chan C and  Bridgman P and  Beug D and  Delmas C and  Lairez O and  Gilyarova E and  Shilova A and  Gilyarov M and  El-Battrawy I and  Akin I and  Poledniková K and  Toušek P and  Winchester DE and  Massoomi M and  Galuszka J and  Ukena C and  Poglajen G and  Carrilho-Ferreira P and  Hauck C and  Paolini C and  Bilato C and  Kobayashi Y and  Kato K and  Ishibashi I and  Himi T and  Din J and  Al-Shammari A and  Prasad A and  Rihal CS and  Liu K and  Schulze PC and  Bianco M and  Jörg L and  Rickli H and  Pestana G and  Nguyen TH and  Böhm M and  Maier LS and  Pinto FJ and  Widimský P and  Felix SB and  Braun-Dullaeus RC and  Rottbauer W and  Hasenfuß G and  Pieske BM and  Schunkert H and  Budnik M and  Opolski G and  Thiele H and  Bauersachs J and  Horowitz JD and  Di Mario C and  Bruno F and  Kong W and  Dalakoti M and  Imori Y and  Münzel T and  Crea F and  Lüscher TF and  Bax JJ and  Ruschitzka F and  De Ferrari GM and  Fariselli P and  Ghadri JR and  Citro R and  D'Ascenzo F and  Templin C.},
  year = {2023},
  journal = {Eur J Heart Fail},
  doi = {10.1002/ejhf.2983},
  url = {https://doi.org/10.1002/ejhf.2983}
}

RIS

TY  - JOUR
TI  - Machine learning-based prediction of in-hospital death for patients with takotsubo syndrome: The InterTAK-ML model.
AU  - De Filippo O
AU  -  Cammann VL
AU  -  Pancotti C
AU  -  Di Vece D
AU  -  Silverio A
AU  -  Schweiger V
AU  -  Niederseer D
AU  -  Szawan KA
AU  -  Würdinger M
AU  -  Koleva I
AU  -  Dusi V
AU  -  Bellino M
AU  -  Vecchione C
AU  -  Parodi G
AU  -  Bossone E
AU  -  Gili S
AU  -  Neuhaus M
AU  -  Franke J
AU  -  Meder B
AU  -  Jaguszewski M
AU  -  Noutsias M
AU  -  Knorr M
AU  -  Jansen T
AU  -  Dichtl W
AU  -  von Lewinski D
AU  -  Burgdorf C
AU  -  Kherad B
AU  -  Tschöpe C
AU  -  Sarcon A
AU  -  Shinbane J
AU  -  Rajan L
AU  -  Michels G
AU  -  Pfister R
AU  -  Cuneo A
AU  -  Jacobshagen C
AU  -  Karakas M
AU  -  Koenig W
AU  -  Pott A
AU  -  Meyer P
AU  -  Roffi M
AU  -  Banning A
AU  -  Wolfrum M
AU  -  Cuculi F
AU  -  Kobza R
AU  -  Fischer TA
AU  -  Vasankari T
AU  -  Airaksinen KEJ
AU  -  Napp LC
AU  -  Dworakowski R
AU  -  MacCarthy P
AU  -  Kaiser C
AU  -  Osswald S
AU  -  Galiuto L
AU  -  Chan C
AU  -  Bridgman P
AU  -  Beug D
AU  -  Delmas C
AU  -  Lairez O
AU  -  Gilyarova E
AU  -  Shilova A
AU  -  Gilyarov M
AU  -  El-Battrawy I
AU  -  Akin I
AU  -  Poledniková K
AU  -  Toušek P
AU  -  Winchester DE
AU  -  Massoomi M
AU  -  Galuszka J
AU  -  Ukena C
AU  -  Poglajen G
AU  -  Carrilho-Ferreira P
AU  -  Hauck C
AU  -  Paolini C
AU  -  Bilato C
AU  -  Kobayashi Y
AU  -  Kato K
AU  -  Ishibashi I
AU  -  Himi T
AU  -  Din J
AU  -  Al-Shammari A
AU  -  Prasad A
AU  -  Rihal CS
AU  -  Liu K
AU  -  Schulze PC
AU  -  Bianco M
AU  -  Jörg L
AU  -  Rickli H
AU  -  Pestana G
AU  -  Nguyen TH
AU  -  Böhm M
AU  -  Maier LS
AU  -  Pinto FJ
AU  -  Widimský P
AU  -  Felix SB
AU  -  Braun-Dullaeus RC
AU  -  Rottbauer W
AU  -  Hasenfuß G
AU  -  Pieske BM
AU  -  Schunkert H
AU  -  Budnik M
AU  -  Opolski G
AU  -  Thiele H
AU  -  Bauersachs J
AU  -  Horowitz JD
AU  -  Di Mario C
AU  -  Bruno F
AU  -  Kong W
AU  -  Dalakoti M
AU  -  Imori Y
AU  -  Münzel T
AU  -  Crea F
AU  -  Lüscher TF
AU  -  Bax JJ
AU  -  Ruschitzka F
AU  -  De Ferrari GM
AU  -  Fariselli P
AU  -  Ghadri JR
AU  -  Citro R
AU  -  D'Ascenzo F
AU  -  Templin C.
PY  - 2023
JO  - Eur J Heart Fail
DO  - 10.1002/ejhf.2983
UR  - https://doi.org/10.1002/ejhf.2983
ER  -

APA

O, D. F., VL, C., C, P., D, D. V., A, S., V, S., D, N., KA, S., M, W., I, K., V, D., M, B., C, V., G, P., E, B., S, G., M, N., J, F., B, M., M, J., M, N., M, K., T, J., W, D., D, V. L., C, B., B, K., C, T., A, S., J, S., L, R., G, M., R, P., A, C., C, J., M, K., W, K., A, P., P, M., M, R., A, B., M, W., F, C., R, K., TA, F., T, V., KEJ, A., LC, N., R, D., P, M., C, K., S, O., L, G., C, C., P, B., D, B., C, D., O, L., E, G., A, S., M, G., I, E., I, A., K, P., P, T., DE, W., M, M., J, G., C, U., G, P., P, C., C, H., C, P., C, B., Y, K., K, K., I, I., T, H., J, D., A, A., A, P., CS, R., K, L., PC, S., M, B., L, J., H, R., G, P., TH, N., M, B., LS, M., FJ, P., P, W., SB, F., RC, B., W, R., G, H., BM, P., H, S., M, B., G, O., H, T., J, B., JD, H., C, D. M., F, B., W, K., M, D., Y, I., T, M., F, C., TF, L., JJ, B., F, R., GM, D. F., P, F., JR, G., R, C., F, D., & C., T. (2023). Machine learning-based prediction of in-hospital death for patients with takotsubo syndrome: The InterTAK-ML model.. Eur J Heart Fail. https://doi.org/10.1002/ejhf.2983

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europe-pmc · retrieved 2026-09-26T07:32:56.459Z