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Mortality Prediction of COVID-19 Patients Using Radiomic and Neural Network Features Extracted from a Wide Chest X-ray Sample Size: A Robust Approach for Different Medical Imbalanced Scenarios
Research article (Applied Sciences, 2022) · cited 21× · AI/ML
Mortality Prediction of COVID-19 Patients Using Radiomic and Neural Network Features Extracted from a Wide Chest X-ray Sample Size: A Robust Approach for Different Medical Imbalanced Scenarios
Summary
Mortality Prediction of COVID-19 Patients Using Radiomic and Neural Network Features Extracted from a Wide Chest X-ray Sample Size: A Robust Approach for Different Medical Imbalanced Scenarios is a scholarly article[1].
Key Facts
Mortality Prediction of COVID-19 Patients Using Radiomic and Neural Network Features Extracted from a Wide Chest X-ray Sample Size: A Robust Approach for Different Medical Imbalanced Scenarios'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). Mortality Prediction of COVID-19 Patients Using Radiomic and Neural Network Features Extracted from a Wide Chest X-ray Sample Size: A Robust Approach for Different Medical Imbalanced Scenarios. Retrieved May 24, 2026, from https://4ort.xyz/entity/mortality-prediction-of-covid-19-patients-using-radiomic-and-neural-network-features-extracted-from-a-wide-chest-x-ray-s
MLA“Mortality Prediction of COVID-19 Patients Using Radiomic and Neural Network Features Extracted from a Wide Chest X-ray Sample Size: A Robust Approach for Different Medical Imbalanced Scenarios.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/mortality-prediction-of-covid-19-patients-using-radiomic-and-neural-network-features-extracted-from-a-wide-chest-x-ray-s.
BibTeX@misc{4ortxyz_mortality-prediction-of-covid-19-patients-using-radiomic-and-neural-network-features-extracted-from-a-wide-chest-x-ray-s_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Mortality Prediction of COVID-19 Patients Using Radiomic and Neural Network Features Extracted from a Wide Chest X-ray Sample Size: A Robust Approach for Different Medical Imbalanced Scenarios}}, year = {2026}, url = {https://4ort.xyz/entity/mortality-prediction-of-covid-19-patients-using-radiomic-and-neural-network-features-extracted-from-a-wide-chest-x-ray-s}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Mortality Prediction of COVID-19 Patients Using Radiomic and Neural Network Features Extracted from a Wide Chest X-ray Sample Size: A Robust Approach for Different Medical Imbalanced Scenarios — https://4ort.xyz/entity/mortality-prediction-of-covid-19-patients-using-radiomic-and-neural-network-features-extracted-from-a-wide-chest-x-ray-s (retrieved 2026-05-24)
