American Psychological Association 6th edition

Saravi, B. E., Zink, A., Uelkuemen, S., Couillard-Despres, S., Hassel, F., & Lang, G. M. [ca. 2022]. Performance of artificial intelligence-based algorithms to predict prolonged length of stay after lumbar decompression surgery [Cd]. Freiburg: Universität. https://doi.org/10.3390/jcm11144050

ISO-690 (author-date, English)

SARAVI, Babak Ebrahimzadeh, ZINK, Alisia, UELKUEMEN, Sara, COUILLARD-DESPRES, Sebastien, HASSEL, Frank und LANG, Gernot Michael, 2022. Performance of artificial intelligence-based algorithms to predict prolonged length of stay after lumbar decompression surgery. Freiburg: Universität.

Modern Language Association 9th edition

Saravi, B. E., A. Zink, S. Uelkuemen, S. Couillard-Despres, F. Hassel, und G. M. Lang. Performance of artificial intelligence-based algorithms to predict prolonged length of stay after lumbar decompression surgery. cd, Universität, 2022, https://doi.org/10.3390/jcm11144050.

Mohr Siebeck - Recht (Deutsch - Österreich)

Saravi, Babak Ebrahimzadeh/Zink, Alisia/Uelkuemen, Sara/Couillard-Despres, Sebastien/Hassel, Frank/Lang, Gernot Michael: Performance of artificial intelligence-based algorithms to predict prolonged length of stay after lumbar decompression surgery, Freiburg 2022.

Emerald - Harvard

Saravi, B.E., Zink, A., Uelkuemen, S., Couillard-Despres, S., Hassel, F. und Lang, G.M. (2022), Performance of artificial intelligence-based algorithms to predict prolonged length of stay after lumbar decompression surgery, Bd. , Universität, Freiburg, verfügbar unter:https://doi.org/10.3390/jcm11144050.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.