Building interpretable predictive models for pediatric hospital readmission using Tree-Lasso logistic regression
Summary
Building interpretable predictive models for pediatric hospital readmission using Tree-Lasso logistic regression is a scholarly article[1].
Key Facts
Building interpretable predictive models for pediatric hospital readmission using Tree-Lasso logistic regression's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Building interpretable predictive models for pediatric hospital readmission using Tree-Lasso logistic regression. Retrieved May 24, 2026, from https://4ort.xyz/entity/building-interpretable-predictive-models-for-pediatric-hospital-readmission-using-tree-lasso-logistic-regression
MLA“Building interpretable predictive models for pediatric hospital readmission using Tree-Lasso logistic regression.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/building-interpretable-predictive-models-for-pediatric-hospital-readmission-using-tree-lasso-logistic-regression.
BibTeX@misc{4ortxyz_building-interpretable-predictive-models-for-pediatric-hospital-readmission-using-tree-lasso-logistic-regression_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Building interpretable predictive models for pediatric hospital readmission using Tree-Lasso logistic regression}}, year = {2026}, url = {https://4ort.xyz/entity/building-interpretable-predictive-models-for-pediatric-hospital-readmission-using-tree-lasso-logistic-regression}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Building interpretable predictive models for pediatric hospital readmission using Tree-Lasso logistic regression — https://4ort.xyz/entity/building-interpretable-predictive-models-for-pediatric-hospital-readmission-using-tree-lasso-logistic-regression (retrieved 2026-05-24)
