Article: Loss of Smell and Taste Can Accurately Predict COVID-19 Infection: A Machine-Learning Approach.
2021 Volume 10, Issue 4
Abstract: The COVID-19 outbreak has spread extensively around the world. Loss of smell and taste have emerged ... patients were included. Loss of smell and taste were found to be the symptoms with higher odds ratios of 6 ... concludes that smell and taste disorders are accurate predictors, with ML algorithms constituting helpful ...
| Abstract | The COVID-19 outbreak has spread extensively around the world. Loss of smell and taste have emerged as main predictors for COVID-19. The objective of our study is to develop a comprehensive machine learning (ML) modelling framework to assess the predictive value of smell and taste disorders, along with other symptoms, in COVID-19 infection. A multicenter case-control study was performed, in which suspected cases for COVID-19, who were tested by real-time reverse-transcription polymerase chain reaction (RT-PCR), informed about the presence and severity of their symptoms using visual analog scales (VAS). ML algorithms were applied to the collected data to predict a COVID-19 diagnosis using a 50-fold cross-validation scheme by randomly splitting the patients in training (75%) and testing datasets (25%). A total of 777 patients were included. Loss of smell and taste were found to be the symptoms with higher odds ratios of 6.21 and 2.42 for COVID-19 positivity. The ML algorithms applied reached an average accuracy of 80%, a sensitivity of 82%, and a specificity of 78% when using VAS to predict a COVID-19 diagnosis. This study concludes that smell and taste disorders are accurate predictors, with ML algorithms constituting helpful tools for COVID-19 diagnostic prediction. |
|---|---|
| Language | English |
| Publishing date | 2021-02-03 |
| Publishing country | Switzerland |
| Document type | Journal Article |
| ZDB-ID | 2662592-1 |
| ISSN | 2077-0383 |
| ISSN | 2077-0383 |
| DOI | 10.3390/jcm10040570 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
More links
Kategorien
Order via subito
This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.