Investigating the impact of feature extraction methods on prediction accuracy of neurological recovery levels in comatose patients post-cardiac arrest.

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Bibliographic Details
Title: Investigating the impact of feature extraction methods on prediction accuracy of neurological recovery levels in comatose patients post-cardiac arrest.
Authors: Çelik SC; Department of Biomedical Engineering, Medical Intelligence Research Center, Yildiz Technical University, Istanbul, Turkey., Özgüzel SS; Department of Biomedical Engineering, Medical Intelligence Research Center, Yildiz Technical University, Istanbul, Turkey., Cantürk İ; Department of Biomedical Engineering, Medical Intelligence Research Center, Yildiz Technical University, Istanbul, Turkey.
Source: Computer methods in biomechanics and biomedical engineering [Comput Methods Biomech Biomed Engin] 2026 Jul; Vol. 29 (9), pp. 2177-2192. Date of Electronic Publication: 2025 Mar 10.
Publication Type: Journal Article
Journal Info: Publisher: Informa Healthcare Country of Publication: England NLM ID: 9802899 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1476-8259 (Electronic) Linking ISSN: 10255842 NLM ISO Abbreviation: Comput Methods Biomech Biomed Engin Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1476-8259
DOI:10.1080/10255842.2025.2475466