Predicting critical state after COVID-19 diagnosis: model development using a large US electronic health record dataset
Summary
Predicting critical state after COVID-19 diagnosis: model development using a large US electronic health record dataset is a scholarly article[1].
Key Facts
Predicting critical state after COVID-19 diagnosis: model development using a large US electronic health record dataset's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Predicting critical state after COVID-19 diagnosis: model development using a large US electronic health record dataset. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-critical-state-after-covid-19-diagnosis-model-development-using-a-large-us-electronic-health-record-dataset
MLA“Predicting critical state after COVID-19 diagnosis: model development using a large US electronic health record dataset.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-critical-state-after-covid-19-diagnosis-model-development-using-a-large-us-electronic-health-record-dataset.
BibTeX@misc{4ortxyz_predicting-critical-state-after-covid-19-diagnosis-model-development-using-a-large-us-electronic-health-record-dataset_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting critical state after COVID-19 diagnosis: model development using a large US electronic health record dataset}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-critical-state-after-covid-19-diagnosis-model-development-using-a-large-us-electronic-health-record-dataset}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Predicting critical state after COVID-19 diagnosis: model development using a large US electronic health record dataset — https://4ort.xyz/entity/predicting-critical-state-after-covid-19-diagnosis-model-development-using-a-large-us-electronic-health-record-dataset (retrieved 2026-05-24)