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Machine learning models for predicting postoperative delirium after noncardiac surgery: A comparative study.

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Title: Machine learning models for predicting postoperative delirium after noncardiac surgery: A comparative study.
Authors: Yang Y; Department of Anesthesiology, The Second People's Hospital of Hefei, China., Zhu P; Department of Anesthesiology, The Second People's Hospital of Hefei, China.
Source: The Journal of international medical research [J Int Med Res] 2026 May; Vol. 54 (5), pp. 3000605261444511. Date of Electronic Publication: 2026 May 31.
Publication Type: Journal Article; Comparative Study
Journal Info: Publisher: Sage Publications Country of Publication: England NLM ID: 0346411 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1473-2300 (Electronic) Linking ISSN: 03000605 NLM ISO Abbreviation: J Int Med Res Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Machine learning models for predicting postoperative delirium after noncardiac surgery: A comparative study.
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  Data: <searchLink fieldCode="AU" term="%22Yang+Y%22">Yang Y</searchLink>; Department of Anesthesiology, The Second People's Hospital of Hefei, China.<br /><searchLink fieldCode="AU" term="%22Zhu+P%22">Zhu P</searchLink>; Department of Anesthesiology, The Second People's Hospital of Hefei, China.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Sage+Publications%22">Sage Publications </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>0346411 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1473-2300 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2203000605%22">03000605 </searchLink><i>NLM ISO Abbreviation: </i>J Int Med Res <i>Subsets: </i>MEDLINE
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        Value: 10.1177/03000605261444511
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      – Code: eng
        Text: English
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      – TitleFull: Machine learning models for predicting postoperative delirium after noncardiac surgery: A comparative study.
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            NameFull: Yang Y
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            NameFull: Zhu P
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            – D: 01
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              Text: 2026 May
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              Y: 2026
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              Value: 54
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              Value: 5
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