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Predictive value of thyroid autoantibodies for coronary heart disease severity in individuals with normal thyroid function based on machine learning and SHAP interpretation.

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Title: Predictive value of thyroid autoantibodies for coronary heart disease severity in individuals with normal thyroid function based on machine learning and SHAP interpretation.
Authors: Liang N; The Second Affiliated Hospital of Harbin Medical University, Harbin, China., Ma H; The Second Affiliated Hospital of Harbin Medical University, Harbin, China., Wang X; The Second Affiliated Hospital of Harbin Medical University, Harbin, China., Meng J; The Second Affiliated Hospital of Harbin Medical University, Harbin, China., Ru Z; The Second Affiliated Hospital of Harbin Medical University, Harbin, China., Lv N; The Second Affiliated Hospital of Harbin Medical University, Harbin, China., Li K; The Second Affiliated Hospital of Harbin Medical University, Harbin, China., Qiao H; The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Source: Frontiers in immunology [Front Immunol] 2026 May 12; Vol. 17, pp. 1803188. Date of Electronic Publication: 2026 May 12 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101560960 Publication Model: eCollection Cited Medium: Internet ISSN: 1664-3224 (Electronic) Linking ISSN: 16643224 NLM ISO Abbreviation: Front Immunol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Predictive value of thyroid autoantibodies for coronary heart disease severity in individuals with normal thyroid function based on machine learning and SHAP interpretation.
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  Data: <searchLink fieldCode="AU" term="%22Liang+N%22">Liang N</searchLink>; The Second Affiliated Hospital of Harbin Medical University, Harbin, China.<br /><searchLink fieldCode="AU" term="%22Ma+H%22">Ma H</searchLink>; The Second Affiliated Hospital of Harbin Medical University, Harbin, China.<br /><searchLink fieldCode="AU" term="%22Wang+X%22">Wang X</searchLink>; The Second Affiliated Hospital of Harbin Medical University, Harbin, China.<br /><searchLink fieldCode="AU" term="%22Meng+J%22">Meng J</searchLink>; The Second Affiliated Hospital of Harbin Medical University, Harbin, China.<br /><searchLink fieldCode="AU" term="%22Ru+Z%22">Ru Z</searchLink>; The Second Affiliated Hospital of Harbin Medical University, Harbin, China.<br /><searchLink fieldCode="AU" term="%22Lv+N%22">Lv N</searchLink>; The Second Affiliated Hospital of Harbin Medical University, Harbin, China.<br /><searchLink fieldCode="AU" term="%22Li+K%22">Li K</searchLink>; The Second Affiliated Hospital of Harbin Medical University, Harbin, China.<br /><searchLink fieldCode="AU" term="%22Qiao+H%22">Qiao H</searchLink>; The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
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  Data: <searchLink fieldCode="JN" term="%22101560960%22">Frontiers in immunology</searchLink> [Front Immunol] 2026 May 12; Vol. 17, pp. 1803188. <i>Date of Electronic Publication: </i>2026 May 12 (<i>Print Publication: </i>2026).
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        Value: 10.3389/fimmu.2026.1803188
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      – TitleFull: Predictive value of thyroid autoantibodies for coronary heart disease severity in individuals with normal thyroid function based on machine learning and SHAP interpretation.
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              Text: 2026 May 12
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