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Evaluating the Machine Learning Models in Predicting Intensive Care Unit Discharge for Neurosurgical Patients Undergoing Craniotomy: A Big Data Analysis

Crossref DOI link: https://doi.org/10.1007/s12028-025-02246-9

Published Online: 2025-05-06

Published Print: 2025-10

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Khaniyev, Taghi

Cekic, Efecan

Koc, Muhammet Abdullah

Dogan, Ilke

Hanalioglu, Sahin https://orcid.org/0000-0003-4988-4938
Funding

Funding for this research was provided by:

Hacettepe University
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Text and Data Mining valid from 2025-05-06

Version of Record valid from 2025-05-06
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Article History

Received: 9 September 2024

Accepted: 4 March 2025

First Online: 6 May 2025

Declarations

:

: All authors disclose no conflicts of interest related to this article.

: This study does not require institutional review board approval because it uses an open-source, anonymized dataset (Medical Information Mart for Intensive Care), and no patient-identifiable data were used.

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