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Developing an Interpretable Machine Learning Model to Predict in-Hospital Mortality in Sepsis Patients: A Retrospective Temporal Validation Study
Research article (Journal of Clinical Medicine, 2023) · cited 21× · AI/ML
Developing an Interpretable Machine Learning Model to Predict in-Hospital Mortality in Sepsis Patients: A Retrospective Temporal Validation Study
Summary
Developing an Interpretable Machine Learning Model to Predict in-Hospital Mortality in Sepsis Patients: A Retrospective Temporal Validation Study is a scholarly article[1].
Key Facts
Developing an Interpretable Machine Learning Model to Predict in-Hospital Mortality in Sepsis Patients: A Retrospective Temporal Validation Study'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). Developing an Interpretable Machine Learning Model to Predict in-Hospital Mortality in Sepsis Patients: A Retrospective Temporal Validation Study. Retrieved May 24, 2026, from https://4ort.xyz/entity/developing-an-interpretable-machine-learning-model-to-predict-in-hospital-mortality-in-sepsis-patients-a-retrospective-t
MLA“Developing an Interpretable Machine Learning Model to Predict in-Hospital Mortality in Sepsis Patients: A Retrospective Temporal Validation Study.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/developing-an-interpretable-machine-learning-model-to-predict-in-hospital-mortality-in-sepsis-patients-a-retrospective-t.
BibTeX@misc{4ortxyz_developing-an-interpretable-machine-learning-model-to-predict-in-hospital-mortality-in-sepsis-patients-a-retrospective-t_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Developing an Interpretable Machine Learning Model to Predict in-Hospital Mortality in Sepsis Patients: A Retrospective Temporal Validation Study}}, year = {2026}, url = {https://4ort.xyz/entity/developing-an-interpretable-machine-learning-model-to-predict-in-hospital-mortality-in-sepsis-patients-a-retrospective-t}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Developing an Interpretable Machine Learning Model to Predict in-Hospital Mortality in Sepsis Patients: A Retrospective Temporal Validation Study — https://4ort.xyz/entity/developing-an-interpretable-machine-learning-model-to-predict-in-hospital-mortality-in-sepsis-patients-a-retrospective-t (retrieved 2026-05-24)
