Individual Factors Associated With COVID-19 Infection: A Machine Learning Study
The fast, exponential increase of COVID-19 infections and their catastrophic effects on patients' health have required the development of tools that support health systems in the quick and efficient diagnosis and prognosis of this disease. In this context, the present study aims to identify the...
Saved in:
Main Authors: | Tania Ramírez-del Real (Author), Mireya Martínez-García (Author), Manlio F. Márquez (Author), Laura López-Trejo (Author), Guadalupe Gutiérrez-Esparza (Author), Enrique Hernández-Lemus (Author) |
---|---|
Format: | Book |
Published: |
Frontiers Media S.A.,
2022-06-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A machine learning approach to personalized predictors of dyslipidemia: a cohort study
by: Guadalupe Gutiérrez-Esparza, et al.
Published: (2023) -
Effects of social confinement during the first wave of COVID-19 in Mexico City
by: Stephany Segura-García, et al.
Published: (2023) -
Connections and Biases in Health Equity and Culture Research: A Semantic Network Analysis
by: Mireya Martínez-García, et al.
Published: (2022) -
Novel methods of qualitative analysis for health policy research
by: Mireya Martínez-García, et al.
Published: (2019) -
Gender imbalance in executive management positions at the Mexican National Institutes of Health
by: Lucero Soledad Rivera-Romano, et al.
Published: (2020)