Explainable machine learning-based mortality risk stratification for older adults with COVID-19: pinpointing core immunological biomarkers and revealing dose-threshold effects.

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Bibliographic Details
Title: Explainable machine learning-based mortality risk stratification for older adults with COVID-19: pinpointing core immunological biomarkers and revealing dose-threshold effects.
Authors: Luo L; Clinical Laboratory, Second Affiliated Hospital of Dalian Medical University, Dalian, China., Wang L; School of Statistics, Dongbei University of Finance and Economics, Dalian, Liaoning, China., Wang H; School of Statistics, Dongbei University of Finance and Economics, Dalian, Liaoning, China., Li H; School of Statistics, Dongbei University of Finance and Economics, Dalian, Liaoning, China., Liu T; Clinical Laboratory, Second Affiliated Hospital of Dalian Medical University, Dalian, China., Yu S; Clinical Laboratory, Second Affiliated Hospital of Dalian Medical University, Dalian, China.
Source: Frontiers in immunology [Front Immunol] 2026 May 25; Vol. 17, pp. 1789048. Date of Electronic Publication: 2026 May 25 (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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