American Psychological Association 6th edition

Khaniyev T, Cekic E, Koc MA, Dogan I, & Hanalioglu S. (2025). Evaluating the Machine Learning Models in Predicting Intensive Care Unit Discharge for Neurosurgical Patients Undergoing Craniotomy: A Big Data Analysis. Neurocritical Care, 43(2), 512-512. https://doi.org/10.1007/s12028-025-02246-9

ISO-690 (author-date, English)

KHANIYEV T, CEKIC E, KOC MA, DOGAN I und HANALIOGLU S, 2025. Evaluating the Machine Learning Models in Predicting Intensive Care Unit Discharge for Neurosurgical Patients Undergoing Craniotomy: A Big Data Analysis. Neurocritical care. 1 Oktober 2025. Vol. 43, no. 2, p. 512-512. DOI 10.1007/s12028-025-02246-9.

Modern Language Association 9th edition

Khaniyev T, Cekic E, Koc MA, Dogan I, und Hanalioglu S. „Evaluating the Machine Learning Models in Predicting Intensive Care Unit Discharge for Neurosurgical Patients Undergoing Craniotomy: A Big Data Analysis.“. Neurocritical Care, Bd. 43, Nr. 2, Oktober 2025, S. 512-, https://doi.org/10.1007/s12028-025-02246-9.

Mohr Siebeck - Recht (Deutsch - Österreich)

Khaniyev T/Cekic E/Koc MA/Dogan I/Hanalioglu S: Evaluating the Machine Learning Models in Predicting Intensive Care Unit Discharge for Neurosurgical Patients Undergoing Craniotomy: A Big Data Analysis., Neurocritical care 2025, 512-512.

Emerald - Harvard

Khaniyev T, Cekic E, Koc MA, Dogan I und Hanalioglu S. (2025), „Evaluating the Machine Learning Models in Predicting Intensive Care Unit Discharge for Neurosurgical Patients Undergoing Craniotomy: A Big Data Analysis.“, Neurocritical Care, Vol. 43 No. 2, S. 512-512.

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