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Prehospital predicting factors using a decision tree model for patients with witnessed out-of-hospital cardiac arrest and an initial shockable rhythm
Research article (Scientific Reports, 2023) · cited 12× · AI/ML
Prehospital predicting factors using a decision tree model for patients with witnessed out-of-hospital cardiac arrest and an initial shockable rhythm
Summary
Prehospital predicting factors using a decision tree model for patients with witnessed out-of-hospital cardiac arrest and an initial shockable rhythm is a scholarly article[1].
Key Facts
Prehospital predicting factors using a decision tree model for patients with witnessed out-of-hospital cardiac arrest and an initial shockable rhythm's instance of is recorded as scholarly article[2].
References
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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). Prehospital predicting factors using a decision tree model for patients with witnessed out-of-hospital cardiac arrest and an initial shockable rhythm. Retrieved May 24, 2026, from https://4ort.xyz/entity/prehospital-predicting-factors-using-a-decision-tree-model-for-patients-with-witnessed-out-of-hospital-cardiac-arrest-an
MLA“Prehospital predicting factors using a decision tree model for patients with witnessed out-of-hospital cardiac arrest and an initial shockable rhythm.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/prehospital-predicting-factors-using-a-decision-tree-model-for-patients-with-witnessed-out-of-hospital-cardiac-arrest-an.
BibTeX@misc{4ortxyz_prehospital-predicting-factors-using-a-decision-tree-model-for-patients-with-witnessed-out-of-hospital-cardiac-arrest-an_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Prehospital predicting factors using a decision tree model for patients with witnessed out-of-hospital cardiac arrest and an initial shockable rhythm}}, year = {2026}, url = {https://4ort.xyz/entity/prehospital-predicting-factors-using-a-decision-tree-model-for-patients-with-witnessed-out-of-hospital-cardiac-arrest-an}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Prehospital predicting factors using a decision tree model for patients with witnessed out-of-hospital cardiac arrest and an initial shockable rhythm — https://4ort.xyz/entity/prehospital-predicting-factors-using-a-decision-tree-model-for-patients-with-witnessed-out-of-hospital-cardiac-arrest-an (retrieved 2026-05-24)
