Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales:	Ramírez-del Real, Tania, Martínez-García, Mireya, Márquez, Manlio F., López-Trejo, Laura, Gutiérrez-Esparza, Guadalupe, Hernández-Lemus, Enrique
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Public Health
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9279686/ https://www.ncbi.nlm.nih.gov/pubmed/35844896 http://dx.doi.org/10.3389/fpubh.2022.912099

Ejemplares similares

A machine learning approach to personalized predictors of dyslipidemia: a cohort study
por: Gutiérrez-Esparza, Guadalupe, et al.
Publicado: (2023)

Effects of social confinement during the first wave of COVID-19 in Mexico City
por: Segura-García, Stephany, et al.
Publicado: (2023)

Connections and Biases in Health Equity and Culture Research: A Semantic Network Analysis
por: Martínez-García, Mireya, et al.
Publicado: (2022)

Exploring disparities and novel insights into metabolic and cardiovascular comorbidities among COVID-19 patients in Mexico
por: López-Cuevas, Jonathan Ariel, et al.
Publicado: (2023)

Data Integration Challenges for Machine Learning in Precision Medicine
por: Martínez-García, Mireya, et al.
Publicado: (2022)

Spatio-Temporal Representativeness of Air Quality Monitoring Stations in Mexico City: Implications for Public Health
por: Baca-López, Karol, et al.
Publicado: (2021)

Relationship between the Social Development Index and Self-Reported Periodontal Conditions
por: Martínez-García, Mireya, et al.
Publicado: (2023)

Individualized prediction of chronic kidney disease for the elderly in longevity areas in China: Machine learning approaches
por: Su, Dai, et al.
Publicado: (2022)

Machine learning models for predicting risk of depression in Korean college students: Identifying family and individual factors
por: Gil, Minji, et al.
Publicado: (2022)

Cardiovascular Risk Factors and Social Development Index
por: Martínez-García, Mireya, et al.
Publicado: (2021)

Periodontal Inflammation and Systemic Diseases: An Overview
por: Martínez-García, Mireya, et al.
Publicado: (2021)

Pathway-Based Drug-Repurposing Schemes in Cancer: The Role of Translational Bioinformatics
por: Hernández-Lemus, Enrique, et al.
Publicado: (2021)

Understanding cross-data dynamics of individual and social/environmental factors through a public health lens: explainable machine learning approaches
por: Jeong, Siwoo, et al.
Publicado: (2023)

Machine Learning Assisted Cervical Cancer Detection
por: Mehmood, Mavra, et al.
Publicado: (2021)

Machine learning in the loop for tuberculosis diagnosis support
por: Orjuela-Cañón, Alvaro D., et al.
Publicado: (2022)

Evaluating the Surveillance System for Spotted Fever in Brazil Using Machine-Learning Techniques
por: Lopez, Diego Montenegro, et al.
Publicado: (2017)

Machine learning approach to predict body weight in adults
por: Fujihara, Kazuya, et al.
Publicado: (2023)

Predicting population health with machine learning: a scoping review
por: Morgenstern, Jason Denzil, et al.
Publicado: (2020)

Machine learning models for predicting depression in Korean young employees
por: Kim, Suk-Sun, et al.
Publicado: (2023)

Predicting hospitalisations related to ambulatory care sensitive conditions with machine learning for population health planning: derivation and validation cohort study
por: Yi, Seung Eun, et al.
Publicado: (2022)

COVID-19 Related Sentiment Analysis Using State-of-the-Art Machine Learning and Deep Learning Techniques
por: Jalil, Zunera, et al.
Publicado: (2022)

Predicting difficult airway intubation in thyroid surgery using multiple machine learning and deep learning algorithms
por: Zhou, Cheng-Mao, et al.
Publicado: (2022)

A Machine Learning Model for Accurate Prediction of Sepsis in ICU Patients
por: Wang, Dong, et al.
Publicado: (2021)

Machine Learning Applications for the Prediction of Bone Cement Leakage in Percutaneous Vertebroplasty
por: Li, Wenle, et al.
Publicado: (2021)

Early-Stage Alzheimer's Disease Prediction Using Machine Learning Models
por: Kavitha, C., et al.
Publicado: (2022)

Temporal and Spatiotemporal Arboviruses Forecasting by Machine Learning: A Systematic Review
por: de Lima, Clarisse Lins, et al.
Publicado: (2022)

Machine learning-assisted prediction of pneumonia based on non-invasive measures
por: Effah, Clement Yaw, et al.
Publicado: (2022)

Adaptive restraint design for a diverse population through machine learning
por: Sun, Wenbo, et al.
Publicado: (2023)

Machine learning-based classification analysis of knowledge worker mental stress
por: Kim, Hyunsuk, et al.
Publicado: (2023)

Machine Learning for Predicting the 3-Year Risk of Incident Diabetes in Chinese Adults
por: Wu, Yang, et al.
Publicado: (2021)

Application of Machine Learning for the Prediction of Etiological Types of Classic Fever of Unknown Origin
por: Yan, Yongjie, et al.
Publicado: (2021)

Machine learning predicts the prognosis of breast cancer patients with initial bone metastases
por: Li, Chaofan, et al.
Publicado: (2022)

Application of machine learning and natural language processing for predicting stroke-associated pneumonia
por: Tsai, Hui-Chu, et al.
Publicado: (2022)

Prediction of Lumbar Drainage-Related Meningitis Based on Supervised Machine Learning Algorithms
por: Wang, Peng, et al.
Publicado: (2022)

Gray wolf optimization-extreme learning machine approach for diabetic retinopathy detection
por: Albadr, Musatafa Abbas Abbood, et al.
Publicado: (2022)

Machine learning to analyze the factors influencing myopia in students of different school periods
por: Tong, Hao-Jie, et al.
Publicado: (2023)

“You knew you had to be there, it had to be done”: Experiences of health professionals who faced the COVID-19 pandemic in one public hospital in Spain
por: Rodríguez-Madrid, María Nieves, et al.
Publicado: (2023)

Corrigendum: “You knew you had to be there, it had to be done”: experiences of health professionals who faced the COVID-19 pandemic in one public hospital in Spain
por: Rodríguez-Madrid, María Nieves, et al.
Publicado: (2023)

Prediction of Mental Health in Medical Workers During COVID-19 Based on Machine Learning
por: Wang, Xiaofeng, et al.
Publicado: (2021)

Deep Learning Assisted Neonatal Cry Classification via Support Vector Machine Models
por: K, Ashwini, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_q5ee3i0jerkirtd3pqp13mgpup