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

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

Abstract Background There is a prevailing view that humans’ capacity to use language to characterize sensations like odors or tastes is poor, providing an unreliable source of information. Methods Here, we developed a machine learning method based on Natural Language Processing (NLP) using Large Lan...

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Bibliographic Details
Main Authors: Hongyang Li, Richard C. Gerkin, Alyssa Bakke, Raquel Norel, Guillermo Cecchi, Christophe Laudamiel, Masha Y. Niv, Kathrin Ohla, John E. Hayes, Valentina Parma, Pablo Meyer
Format: Article
Language:English
Published: Nature Portfolio 2023-07-01
Series:Communications Medicine
Online Access:https://doi.org/10.1038/s43856-023-00334-5

Internet

https://doi.org/10.1038/s43856-023-00334-5

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