Potential limitations in COVID-19 machine learning due to data source variability: A case study in the nCov2019 dataset

Research article (Journal of the American Medical Informatics Association, 2020) · cited 85× · AI/ML
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Potential limitations in COVID-19 machine learning due to data source variability: A case study in the nCov2019 dataset

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Potential limitations in COVID-19 machine learning due to data source variability: A case study in the nCov2019 dataset is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Potential limitations in COVID-19 machine learning due to data source variability: A case study in the nCov2019 dataset. Retrieved May 24, 2026, from https://4ort.xyz/entity/potential-limitations-in-covid-19-machine-learning-due-to-data-source-variability-a-case-study-in-the-ncov2019-dataset
MLA “Potential limitations in COVID-19 machine learning due to data source variability: A case study in the nCov2019 dataset.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/potential-limitations-in-covid-19-machine-learning-due-to-data-source-variability-a-case-study-in-the-ncov2019-dataset.
BibTeX @misc{4ortxyz_potential-limitations-in-covid-19-machine-learning-due-to-data-source-variability-a-case-study-in-the-ncov2019-dataset_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Potential limitations in COVID-19 machine learning due to data source variability: A case study in the nCov2019 dataset}}, year = {2026}, url = {https://4ort.xyz/entity/potential-limitations-in-covid-19-machine-learning-due-to-data-source-variability-a-case-study-in-the-ncov2019-dataset}, note = {Accessed: 2026-05-24}}
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