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Development and Validation of an Interpretable Machine Learning Model Based on Routine Blood Biomarkers: For Predicting Age-Related Hearing Loss.

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Title: Development and Validation of an Interpretable Machine Learning Model Based on Routine Blood Biomarkers: For Predicting Age-Related Hearing Loss.
Authors: He, Dan1 (AUTHOR), Liu, Yiting1,2 (AUTHOR), Ke, Jing2,3 (AUTHOR), Jiang, Xu1,2,3 (AUTHOR), Ma, Haiyu2 (AUTHOR), Shi, Ya2,3 (AUTHOR), Yuan, Wei1,2 (AUTHOR) weiyuan175@cqu.edu.cn
Source: Diagnostics (2075-4418). Jul2026, Vol. 16 Issue 13, p2025. 17p.
Database: Academic Search Ultimate
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An: 195442331
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  Data: Development and Validation of an Interpretable Machine Learning Model Based on Routine Blood Biomarkers: For Predicting Age-Related Hearing Loss.
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  Data: <searchLink fieldCode="JN" term="%22Diagnostics+%282075-4418%29%22">Diagnostics (2075-4418)</searchLink>. Jul2026, Vol. 16 Issue 13, p2025. 17p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=195442331
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.3390/diagnostics16132025
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      – Code: eng
        Text: English
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      – TitleFull: Development and Validation of an Interpretable Machine Learning Model Based on Routine Blood Biomarkers: For Predicting Age-Related Hearing Loss.
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            NameFull: He, Dan
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            NameFull: Liu, Yiting
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            NameFull: Ke, Jing
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            NameFull: Jiang, Xu
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            NameFull: Ma, Haiyu
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            NameFull: Shi, Ya
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            NameFull: Yuan, Wei
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            – D: 01
              M: 07
              Text: Jul2026
              Type: published
              Y: 2026
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