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Recurrent neural network models (CovRNN) for predicting outcomes of patients with COVID-19 on admission to hospital: model development and validation using electronic health record data
Research article (The Lancet Digital Health, 2022) · cited 85× · AI/ML
Recurrent neural network models (CovRNN) for predicting outcomes of patients with COVID-19 on admission to hospital: model development and validation using electronic health record data
Summary
Recurrent neural network models (CovRNN) for predicting outcomes of patients with COVID-19 on admission to hospital: model development and validation using electronic health record data is a scholarly article[1].
Key Facts
Recurrent neural network models (CovRNN) for predicting outcomes of patients with COVID-19 on admission to hospital: model development and validation using electronic health record data's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Recurrent neural network models (CovRNN) for predicting outcomes of patients with COVID-19 on admission to hospital: model development and validation using electronic health record data. Retrieved May 24, 2026, from https://4ort.xyz/entity/recurrent-neural-network-models-covrnn-for-predicting-outcomes-of-patients-with-covid-19-on-admission-to-hospital-model-
MLA“Recurrent neural network models (CovRNN) for predicting outcomes of patients with COVID-19 on admission to hospital: model development and validation using electronic health record data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/recurrent-neural-network-models-covrnn-for-predicting-outcomes-of-patients-with-covid-19-on-admission-to-hospital-model-.
BibTeX@misc{4ortxyz_recurrent-neural-network-models-covrnn-for-predicting-outcomes-of-patients-with-covid-19-on-admission-to-hospital-model-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Recurrent neural network models (CovRNN) for predicting outcomes of patients with COVID-19 on admission to hospital: model development and validation using electronic health record data}}, year = {2026}, url = {https://4ort.xyz/entity/recurrent-neural-network-models-covrnn-for-predicting-outcomes-of-patients-with-covid-19-on-admission-to-hospital-model-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Recurrent neural network models (CovRNN) for predicting outcomes of patients with COVID-19 on admission to hospital: model development and validation using electronic health record data — https://4ort.xyz/entity/recurrent-neural-network-models-covrnn-for-predicting-outcomes-of-patients-with-covid-19-on-admission-to-hospital-model- (retrieved 2026-05-24)
