| Autor: |
Martínez-Garcés, Vania Jocelyn, Olguín-Rodríguez, Paola V., Mehta, Roopa, Almeda-Valdes, Paloma, Barajas-Martínez, Antonio, Ibarra-Coronado, Elizabeth, Arellano, Monserrat Ramírez, Fossion, Ruben, Frank, Alejandro, Aguilar-Salinas, Carlos A., Rivera, Ana Leonor |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2023, Vol. 2947 Issue 1, p1-5, 5p |
| Abstrakt: |
Poincaré maps are a time series analysis technique, that consists in a scattered plot that allows the visualization of the dynamics in a time series. This study aims to visualize and characterize the behavior of complex systems (human body) in disease (COVID-19 disease with lung involvement), according to prognosis outcome, stratified by two comparable groups. The potential use of our work lies in its possible application for identifying biomarkers of physiological health and predictive biomarkers in the prognosis against COVID-19 by changes in system dynamics. Results show that certain variables such as Diastolic blood pressure, PaO2/FiO2, average epicardial fat, direct bilirubin, and Triglyceride-Glucose Ratio/BMI can be inferred as important predictive markers of worse prognosis against COVID-19, with dynamic becoming deterministic. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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