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.
APA4ort.xyz Knowledge Graph. (2026). Predicting mortality of patients with acute kidney injury in the ICU using XGBoost model. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-mortality-of-patients-with-acute-kidney-injury-in-the-icu-using-xgboost-model
MLA“Predicting mortality of patients with acute kidney injury in the ICU using XGBoost model.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-mortality-of-patients-with-acute-kidney-injury-in-the-icu-using-xgboost-model.
BibTeX@misc{4ortxyz_predicting-mortality-of-patients-with-acute-kidney-injury-in-the-icu-using-xgboost-model_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting mortality of patients with acute kidney injury in the ICU using XGBoost model}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-mortality-of-patients-with-acute-kidney-injury-in-the-icu-using-xgboost-model}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Predicting mortality of patients with acute kidney injury in the ICU using XGBoost model — https://4ort.xyz/entity/predicting-mortality-of-patients-with-acute-kidney-injury-in-the-icu-using-xgboost-model (retrieved 2026-05-24)
