Towards optimal valve prescription for transcatheter aortic valve replacement (TAVR) surgery: a machine learning approach.

Paschalidis P, Stoumpou V, Everest L, Ma Y, Azemi T, Haider J, Zweibel S, Protopapas EM, Mather J, Tysarowski M, Sarris GE, Hagberg RC, Haronian HL, Bertsimas D

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DOI: 10.1007/s10729-026-09768-4
Published: 2026 Jun 20
Container: Health care management science
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s10729-026-09768-4,
  title = {Towards optimal valve prescription for transcatheter aortic valve replacement (TAVR) surgery: a machine learning approach.},
  author = {Paschalidis P and Stoumpou V and Everest L and Ma Y and Azemi T and Haider J and Zweibel S and Protopapas EM and Mather J and Tysarowski M and Sarris GE and Hagberg RC and Haronian HL and Bertsimas D},
  year = {2026},
  journal = {Health care management science},
  doi = {10.1007/s10729-026-09768-4},
  url = {https://doi.org/10.1007/s10729-026-09768-4}
}

RIS

TY  - JOUR
TI  - Towards optimal valve prescription for transcatheter aortic valve replacement (TAVR) surgery: a machine learning approach.
AU  - Paschalidis P
AU  - Stoumpou V
AU  - Everest L
AU  - Ma Y
AU  - Azemi T
AU  - Haider J
AU  - Zweibel S
AU  - Protopapas EM
AU  - Mather J
AU  - Tysarowski M
AU  - Sarris GE
AU  - Hagberg RC
AU  - Haronian HL
AU  - Bertsimas D
PY  - 2026
JO  - Health care management science
DO  - 10.1007/s10729-026-09768-4
UR  - https://doi.org/10.1007/s10729-026-09768-4
ER  -

APA

P, P., V, S., L, E., Y, M., T, A., J, H., S, Z., EM, P., J, M., M, T., GE, S., RC, H., HL, H., & D, B. (2026). Towards optimal valve prescription for transcatheter aortic valve replacement (TAVR) surgery: a machine learning approach.. Health care management science. https://doi.org/10.1007/s10729-026-09768-4

Source records

pubmed · retrieved 2026-09-26T19:16:16.519Z