Exploratory study of extracellular matrix biomarkers for non-invasive liver fibrosis staging: A machine learning approach with XGBoost and explainable AI.
- DOI
- 10.1016/j.clinbiochem.2024.110861
- Published
- 2025 Jan
- Container
- Clinical biochemistry
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.clinbiochem.2024.110861,
title = {Exploratory study of extracellular matrix biomarkers for non-invasive liver fibrosis staging: A machine learning approach with XGBoost and explainable AI.},
author = {Carnazzo V and Pignalosa S and Tagliaferro M and Gragnani L and Zignego AL and Racco C and Di Biase L and Basile V and Rapaccini GL and Di Santo R and Niccolini B and Marino M and De Spirito M and Gigante G and Ciasca G and Basile U},
year = {2025},
journal = {Clinical biochemistry},
doi = {10.1016/j.clinbiochem.2024.110861},
url = {https://doi.org/10.1016/j.clinbiochem.2024.110861}
}RIS
TY - JOUR TI - Exploratory study of extracellular matrix biomarkers for non-invasive liver fibrosis staging: A machine learning approach with XGBoost and explainable AI. AU - Carnazzo V AU - Pignalosa S AU - Tagliaferro M AU - Gragnani L AU - Zignego AL AU - Racco C AU - Di Biase L AU - Basile V AU - Rapaccini GL AU - Di Santo R AU - Niccolini B AU - Marino M AU - De Spirito M AU - Gigante G AU - Ciasca G AU - Basile U PY - 2025 JO - Clinical biochemistry DO - 10.1016/j.clinbiochem.2024.110861 UR - https://doi.org/10.1016/j.clinbiochem.2024.110861 ER -
APA
V, C., S, P., M, T., L, G., AL, Z., C, R., L, D. B., V, B., GL, R., R, D. S., B, N., M, M., M, D. S., G, G., G, C., & U, B. (2025). Exploratory study of extracellular matrix biomarkers for non-invasive liver fibrosis staging: A machine learning approach with XGBoost and explainable AI.. Clinical biochemistry. https://doi.org/10.1016/j.clinbiochem.2024.110861
Source records
- pubmed · retrieved 2026-09-27T15:10:25.804Z