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Interpretable machine learning model for early prediction of 28-day mortality in ICU patients with sepsis-induced coagulopathy: development and validation
Research article (European journal of medical research, 2024) · cited 42× · AI/ML
Interpretable machine learning model for early prediction of 28-day mortality in ICU patients with sepsis-induced coagulopathy: development and validation
Summary
Interpretable machine learning model for early prediction of 28-day mortality in ICU patients with sepsis-induced coagulopathy: development and validation is a scholarly article[1].
Key Facts
Interpretable machine learning model for early prediction of 28-day mortality in ICU patients with sepsis-induced coagulopathy: development and validation's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Interpretable machine learning model for early prediction of 28-day mortality in ICU patients with sepsis-induced coagulopathy: development and validation. Retrieved May 24, 2026, from https://4ort.xyz/entity/interpretable-machine-learning-model-for-early-prediction-of-28-day-mortality-in-icu-patients-with-sepsis-induced-coagul
MLA“Interpretable machine learning model for early prediction of 28-day mortality in ICU patients with sepsis-induced coagulopathy: development and validation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/interpretable-machine-learning-model-for-early-prediction-of-28-day-mortality-in-icu-patients-with-sepsis-induced-coagul.
BibTeX@misc{4ortxyz_interpretable-machine-learning-model-for-early-prediction-of-28-day-mortality-in-icu-patients-with-sepsis-induced-coagul_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Interpretable machine learning model for early prediction of 28-day mortality in ICU patients with sepsis-induced coagulopathy: development and validation}}, year = {2026}, url = {https://4ort.xyz/entity/interpretable-machine-learning-model-for-early-prediction-of-28-day-mortality-in-icu-patients-with-sepsis-induced-coagul}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Interpretable machine learning model for early prediction of 28-day mortality in ICU patients with sepsis-induced coagulopathy: development and validation — https://4ort.xyz/entity/interpretable-machine-learning-model-for-early-prediction-of-28-day-mortality-in-icu-patients-with-sepsis-induced-coagul (retrieved 2026-05-24)