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Predicting Long-term Renal Impairment in Post-COVID-19 Patients with Machine Learning Algorithms
This study, conducted with a cohort of 821 post-COVID-19 patients from diverse regions of Iraq across the years 2021, 2022, and 2023, endeavors to predict the risk of long-term renal impairment using advanced machine learning algorithms.
Unraveling Post-COVID-19 Immune Dysregulation Using Machine Learning-based Immunophenotyping
The COVID-19 pandemic has left a significant mark on global healthcare, with many individuals experiencing lingering symptoms long after recovering from the acute phase of the disease, a condition often referred to as "long COVID."
Predicting Cardiovascular Complications in Post-COVID-19 Patients Using Data-Driven Machine Learning Models
The COVID-19 pandemic has globally posed numerous health challenges, notably the emergence of post-COVID-19 cardiovascular complications.
Identifying Risk Factors for Post-COVID-19 Mental Health Disorders: A Machine Learning Perspective
In this study, we leveraged machine learning techniques to identify risk factors associated with post-COVID-19 mental health disorders.
Cognizance of Post-COVID-19 Multi-Organ Dysfunction through Machine Learning Analysis
Keywords: Post-COVID-19 Syndrome, Machine Learning, Multi-Organ Dysfunction, Healthcare, Artificial Intelligence.
