Development and Validation of an Interpretable Machine Learning Model Based on Routine Blood Biomarkers: For Predicting Age-Related Hearing Loss.
- DOI
- 10.3390/diagnostics16132025
- Published
- 2026 Jun 29
- Container
- Diagnostics (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/diagnostics16132025,
title = {Development and Validation of an Interpretable Machine Learning Model Based on Routine Blood Biomarkers: For Predicting Age-Related Hearing Loss.},
author = {He D and Liu Y and Ke J and Jiang X and Ma H and Shi Y and Yuan W},
year = {2026},
journal = {Diagnostics (Basel, Switzerland)},
doi = {10.3390/diagnostics16132025},
url = {https://doi.org/10.3390/diagnostics16132025}
}RIS
TY - JOUR TI - Development and Validation of an Interpretable Machine Learning Model Based on Routine Blood Biomarkers: For Predicting Age-Related Hearing Loss. AU - He D AU - Liu Y AU - Ke J AU - Jiang X AU - Ma H AU - Shi Y AU - Yuan W PY - 2026 JO - Diagnostics (Basel, Switzerland) DO - 10.3390/diagnostics16132025 UR - https://doi.org/10.3390/diagnostics16132025 ER -
APA
D, H., Y, L., J, K., X, J., H, M., Y, S., & W, Y. (2026). Development and Validation of an Interpretable Machine Learning Model Based on Routine Blood Biomarkers: For Predicting Age-Related Hearing Loss.. Diagnostics (Basel, Switzerland). https://doi.org/10.3390/diagnostics16132025
Source records
- pubmed · retrieved 2026-09-27T10:58:49.772Z