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Construction and validation of prognostic models in critically Ill patients with sepsis-associated acute kidney injury: interpretable machine learning approach
Research article (Journal of Translational Medicine, 2023) · cited 128× · AI/ML
Construction and validation of prognostic models in critically Ill patients with sepsis-associated acute kidney injury: interpretable machine learning approach
Summary
Construction and validation of prognostic models in critically Ill patients with sepsis-associated acute kidney injury: interpretable machine learning approach is a scholarly article[1].
Key Facts
Construction and validation of prognostic models in critically Ill patients with sepsis-associated acute kidney injury: interpretable machine learning approach's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Construction and validation of prognostic models in critically Ill patients with sepsis-associated acute kidney injury: interpretable machine learning approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/construction-and-validation-of-prognostic-models-in-critically-ill-patients-with-sepsis-associated-acute-kidney-injury-i
MLA“Construction and validation of prognostic models in critically Ill patients with sepsis-associated acute kidney injury: interpretable machine learning approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/construction-and-validation-of-prognostic-models-in-critically-ill-patients-with-sepsis-associated-acute-kidney-injury-i.
BibTeX@misc{4ortxyz_construction-and-validation-of-prognostic-models-in-critically-ill-patients-with-sepsis-associated-acute-kidney-injury-i_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Construction and validation of prognostic models in critically Ill patients with sepsis-associated acute kidney injury: interpretable machine learning approach}}, year = {2026}, url = {https://4ort.xyz/entity/construction-and-validation-of-prognostic-models-in-critically-ill-patients-with-sepsis-associated-acute-kidney-injury-i}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Construction and validation of prognostic models in critically Ill patients with sepsis-associated acute kidney injury: interpretable machine learning approach — https://4ort.xyz/entity/construction-and-validation-of-prognostic-models-in-critically-ill-patients-with-sepsis-associated-acute-kidney-injury-i (retrieved 2026-05-24)
