Home › Entities › academia › Predicting acute kidney injury in critically ill patients using comorbid conditions utilizing machine learning

Predicting acute kidney injury in critically ill patients using comorbid conditions utilizing machine learning

Research article (Clinical Kidney Journal, 2020) · cited 43× · AI/ML
academia openalex:W3091454251
Press Enter · cited answer in seconds

Predicting acute kidney injury in critically ill patients using comorbid conditions utilizing machine learning

Summary

Predicting acute kidney injury in critically ill patients using comorbid conditions utilizing machine learning is a scholarly article[1].

Key Facts

  • Predicting acute kidney injury in critically ill patients using comorbid conditions utilizing machine learning's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Predicting acute kidney injury in critically ill patients using comorbid conditions utilizing machine learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-acute-kidney-injury-in-critically-ill-patients-using-comorbid-conditions-utilizing-machine-learning
MLA “Predicting acute kidney injury in critically ill patients using comorbid conditions utilizing machine learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-acute-kidney-injury-in-critically-ill-patients-using-comorbid-conditions-utilizing-machine-learning.
BibTeX @misc{4ortxyz_predicting-acute-kidney-injury-in-critically-ill-patients-using-comorbid-conditions-utilizing-machine-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting acute kidney injury in critically ill patients using comorbid conditions utilizing machine learning}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-acute-kidney-injury-in-critically-ill-patients-using-comorbid-conditions-utilizing-machine-learning}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Predicting acute kidney injury in critically ill patients using comorbid conditions utilizing machine learning — https://4ort.xyz/entity/predicting-acute-kidney-injury-in-critically-ill-patients-using-comorbid-conditions-utilizing-machine-learning (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/predicting-acute-kidney-injury-in-critically-ill-patients-using-comorbid-conditions-utilizing-machine-learning · Last refreshed: