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Prediction of oxygen requirement in patients with COVID-19 using a pre-trained chest radiograph xAI model: efficient development of auditable risk prediction models via a fine-tuning approach
Research article (Scientific Reports, 2022) · cited 22× · AI/ML
Prediction of oxygen requirement in patients with COVID-19 using a pre-trained chest radiograph xAI model: efficient development of auditable risk prediction models via a fine-tuning approach
Summary
Prediction of oxygen requirement in patients with COVID-19 using a pre-trained chest radiograph xAI model: efficient development of auditable risk prediction models via a fine-tuning approach is a scholarly article[1].
Key Facts
Prediction of oxygen requirement in patients with COVID-19 using a pre-trained chest radiograph xAI model: efficient development of auditable risk prediction models via a fine-tuning approach'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). Prediction of oxygen requirement in patients with COVID-19 using a pre-trained chest radiograph xAI model: efficient development of auditable risk prediction models via a fine-tuning approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/prediction-of-oxygen-requirement-in-patients-with-covid-19-using-a-pre-trained-chest-radiograph-xai-model-efficient-deve
MLA“Prediction of oxygen requirement in patients with COVID-19 using a pre-trained chest radiograph xAI model: efficient development of auditable risk prediction models via a fine-tuning approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/prediction-of-oxygen-requirement-in-patients-with-covid-19-using-a-pre-trained-chest-radiograph-xai-model-efficient-deve.
BibTeX@misc{4ortxyz_prediction-of-oxygen-requirement-in-patients-with-covid-19-using-a-pre-trained-chest-radiograph-xai-model-efficient-deve_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Prediction of oxygen requirement in patients with COVID-19 using a pre-trained chest radiograph xAI model: efficient development of auditable risk prediction models via a fine-tuning approach}}, year = {2026}, url = {https://4ort.xyz/entity/prediction-of-oxygen-requirement-in-patients-with-covid-19-using-a-pre-trained-chest-radiograph-xai-model-efficient-deve}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Prediction of oxygen requirement in patients with COVID-19 using a pre-trained chest radiograph xAI model: efficient development of auditable risk prediction models via a fine-tuning approach — https://4ort.xyz/entity/prediction-of-oxygen-requirement-in-patients-with-covid-19-using-a-pre-trained-chest-radiograph-xai-model-efficient-deve (retrieved 2026-05-24)
