Machine learning first response to COVID-19: A systematic literature review of clinical decision assistance approaches during pandemic years from 2020 to 2022
G Badiola-Zabala, JM Lopez-Guede, J Estevez… - Electronics, 2024 - mdpi.com
Background: The declaration of the COVID-19 pandemic triggered global efforts to control
and manage the virus impact. Scientists and researchers have been strongly involved in …
and manage the virus impact. Scientists and researchers have been strongly involved in …
Biomedical data analytics for better patient outcomes
Medical professionals today have access to immense amounts of data, which enables them
to make decisions that enhance patient care and treatment efficacy. This innovative strategy …
to make decisions that enhance patient care and treatment efficacy. This innovative strategy …
[HTML][HTML] The association of combinations of social factors and SARs-CoV-2 infection: A retrospective population-based cohort study in Ontario, 2020–2021
Objective The COVID-19 pandemic highlighted and exacerbated health inequities
worldwide. While several studies have examined the impact of individual social factors on …
worldwide. While several studies have examined the impact of individual social factors on …
[HTML][HTML] A systematic review and meta-analysis of the factors associating the willingness of Chinese community residents to receive COVID-19 vaccine
B Xu, Y Zhu - Annals of Palliative Medicine, 2022 - apm.amegroups.org
Background: Amid the coronavirus disease of 2019 (COVID-19) pandemic, China's
vaccination campaign is progressing in an orderly manner. In the process of vaccination, the …
vaccination campaign is progressing in an orderly manner. In the process of vaccination, the …
Big data and AI for gender equality in health: bias is a big challenge
A Joshi - Frontiers in Big Data, 2024 - frontiersin.org
Artificial intelligence and machine learning are rapidly evolving fields that have the potential
to transform women's health by improving diagnostic accuracy, personalizing treatment …
to transform women's health by improving diagnostic accuracy, personalizing treatment …
Machine-learning algorithm for predicting fatty liver disease in a Taiwanese population
YY Chen, CY Lin, HH Yen, PY Su, YH Zeng… - Journal of Personalized …, 2022 - mdpi.com
The rising incidence of fatty liver disease (FLD) poses a health challenge, and is expected to
be the leading global cause of liver-related morbidity and mortality in the near future. Early …
be the leading global cause of liver-related morbidity and mortality in the near future. Early …
Understanding the progress of COVID-19 transmission in a rural district: a social network approach
Background Social interactions within and between communities influenced the spread of
COVID-19. By using social network analysis (SNA), we aimed to understand the effect of …
COVID-19. By using social network analysis (SNA), we aimed to understand the effect of …
Factors associated with SARS-CoV-2 positivity in patients treated at the Lambayeque regional hospital, Peru during a pandemic period
The aim of this study was to provide additional data on mortality from COVID-19 with
particular attention to the factors associated with the positivity of patients admitted to the …
particular attention to the factors associated with the positivity of patients admitted to the …
The SIMI Gender '5 Ws' Rule for the integration of sex and gender-related variables in clinical studies towards internal medicine equitable research
Biological sex and sociocultural gender matter when it comes to health and diseases. They
have been both proposed as the undeniable gateways towards a personalized approach in …
have been both proposed as the undeniable gateways towards a personalized approach in …
Re-Infection of COVID-19 at Dr. Moewardi General Hospital, Surakarta, from March 2020 to June 2021
J Aphridasari - Indonesian Journal of Medicine, 2023 - theijmed.com
Background: COVID-19 reinfection has been identified and is being studied. Several risk
factors, including being a health worker and having A blood type, are linked to reinfection …
factors, including being a health worker and having A blood type, are linked to reinfection …