TY  - JOUR
AU  - Callejon-Leblic, María A
AU  - Moreno-Luna, Ramon
AU  - Del Cuvillo, Alfonso
AU  - Reyes-Tejero, Isabel M
AU  - Garcia-Villaran, Miguel A
AU  - Santos-Peña, Marta
AU  - Maza-Solano, Juan M
AU  - Martín-Jimenez, Daniel I
AU  - Palacios-Garcia, Jose M
AU  - Fernandez-Velez, Carlos
AU  - Gonzalez-Garcia, Jaime
AU  - Sanchez-Calvo, Juan M
AU  - Solanellas-Soler, Juan
AU  - Sanchez-Gomez, Serafin
PY  - 2021
DO  - 10.3390/jcm10040570
SN  - 2077-0383
UR  - https://hdl.handle.net/10668/27719
T2  - Journal of clinical medicine
AB  - 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...
LA  - en
KW  - COVID-19
KW  - SARS-CoV-2
KW  - machine learning
KW  - prediction model
KW  - smell
KW  - taste
KW  - visual analog scale
TI  - Loss of Smell and Taste Can Accurately Predict COVID-19 Infection: A Machine-Learning Approach.
TY  - research article
VL  - 10
ER  -