Constructing a predictive model for the risk of periventricular leukomalacia in very low birth weight premature infants based on Lasso-Logistic regression analysis.
- DOI
- 10.3389/fped.2026.1651586
- Published
- 2026
- Container
- Frontiers in pediatrics
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3389/fped.2026.1651586,
title = {Constructing a predictive model for the risk of periventricular leukomalacia in very low birth weight premature infants based on Lasso-Logistic regression analysis.},
author = {Duan F and Ling L and Liao L},
year = {2026},
journal = {Frontiers in pediatrics},
doi = {10.3389/fped.2026.1651586},
url = {https://doi.org/10.3389/fped.2026.1651586}
}RIS
TY - JOUR TI - Constructing a predictive model for the risk of periventricular leukomalacia in very low birth weight premature infants based on Lasso-Logistic regression analysis. AU - Duan F AU - Ling L AU - Liao L PY - 2026 JO - Frontiers in pediatrics DO - 10.3389/fped.2026.1651586 UR - https://doi.org/10.3389/fped.2026.1651586 ER -
APA
F, D., L, L., & L, L. (2026). Constructing a predictive model for the risk of periventricular leukomalacia in very low birth weight premature infants based on Lasso-Logistic regression analysis.. Frontiers in pediatrics. https://doi.org/10.3389/fped.2026.1651586
Source records
- pubmed · retrieved 2026-09-25T17:54:22.539Z