Text-based predictions of COVID-19 diagnosis from self-reported chemosensory descriptions

Research article (Communications Medicine, 2023) · cited 13× · AI/ML
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Text-based predictions of COVID-19 diagnosis from self-reported chemosensory descriptions

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Text-based predictions of COVID-19 diagnosis from self-reported chemosensory descriptions is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Text-based predictions of COVID-19 diagnosis from self-reported chemosensory descriptions. Retrieved May 24, 2026, from https://4ort.xyz/entity/text-based-predictions-of-covid-19-diagnosis-from-self-reported-chemosensory-descriptions
MLA “Text-based predictions of COVID-19 diagnosis from self-reported chemosensory descriptions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/text-based-predictions-of-covid-19-diagnosis-from-self-reported-chemosensory-descriptions.
BibTeX @misc{4ortxyz_text-based-predictions-of-covid-19-diagnosis-from-self-reported-chemosensory-descriptions_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Text-based predictions of COVID-19 diagnosis from self-reported chemosensory descriptions}}, year = {2026}, url = {https://4ort.xyz/entity/text-based-predictions-of-covid-19-diagnosis-from-self-reported-chemosensory-descriptions}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Text-based predictions of COVID-19 diagnosis from self-reported chemosensory descriptions — https://4ort.xyz/entity/text-based-predictions-of-covid-19-diagnosis-from-self-reported-chemosensory-descriptions (retrieved 2026-05-24)

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